CSE-221710305047-SAI_D_VETUKURI¶
Select the Tensorflow Version¶
In [1]:
%tensorflow_version 1.x
TensorFlow 1.x selected.
Check wheather GPU is present or not¶
In [2]:
import tensorflow as tf
device_name = tf.test.gpu_device_name()
if device_name != '/device:GPU:0':
raise SystemError('GPU device not found')
print('Found GPU at: {}'.format(device_name))
print(tf.__version__)
Found GPU at: /device:GPU:0 1.15.2
Mount Google Drive¶
In [3]:
from google.colab import drive
drive.mount('/content/gdrive')
Go to this URL in a browser: https://accounts.google.com/o/oauth2/auth?client_id=947318989803-6bn6qk8qdgf4n4g3pfee6491hc0brc4i.apps.googleusercontent.com&redirect_uri=urn%3aietf%3awg%3aoauth%3a2.0%3aoob&response_type=code&scope=email%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdocs.test%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdrive%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdrive.photos.readonly%20https%3a%2f%2fwww.googleapis.com%2fauth%2fpeopleapi.readonly Enter your authorization code: ·········· Mounted at /content/gdrive
In [4]:
# After mounting the google drive to access the Car_And_Number_Plate Change the directory to access the files
%cd '/content/gdrive/My Drive/Car_And_Number_Plate'
/content/gdrive/My Drive/Car_And_Number_Plate
In [ ]:
#Skipped this step as it is present
!git clone https://github.com/tensorflow/models.git
Install the tools and dependencies¶
In [5]:
!apt-get install protobuf-compiler python-pil python-lxml python-tk
!pip install Cython
Reading package lists... Done Building dependency tree Reading state information... Done protobuf-compiler is already the newest version (3.0.0-9.1ubuntu1). python-tk is already the newest version (2.7.17-1~18.04). The following package was automatically installed and is no longer required: libnvidia-common-440 Use 'apt autoremove' to remove it. The following additional packages will be installed: python-bs4 python-chardet python-html5lib python-olefile python-pkg-resources python-six python-webencodings Suggested packages: python-genshi python-lxml-dbg python-lxml-doc python-pil-doc python-pil-dbg python-setuptools The following NEW packages will be installed: python-bs4 python-chardet python-html5lib python-lxml python-olefile python-pil python-pkg-resources python-six python-webencodings 0 upgraded, 9 newly installed, 0 to remove and 35 not upgraded. Need to get 1,818 kB of archives. After this operation, 7,685 kB of additional disk space will be used. Get:1 http://archive.ubuntu.com/ubuntu bionic/main amd64 python-bs4 all 4.6.0-1 [67.9 kB] Get:2 http://archive.ubuntu.com/ubuntu bionic/main amd64 python-pkg-resources all 39.0.1-2 [128 kB] Get:3 http://archive.ubuntu.com/ubuntu bionic/main amd64 python-chardet all 3.0.4-1 [80.3 kB] Get:4 http://archive.ubuntu.com/ubuntu bionic/main amd64 python-six all 1.11.0-2 [11.3 kB] Get:5 http://archive.ubuntu.com/ubuntu bionic/main amd64 python-webencodings all 0.5-2 [10.3 kB] Get:6 http://archive.ubuntu.com/ubuntu bionic/main amd64 python-html5lib all 0.999999999-1 [83.6 kB] Get:7 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 python-lxml amd64 4.2.1-1ubuntu0.1 [1,075 kB] Get:8 http://archive.ubuntu.com/ubuntu bionic/main amd64 python-olefile all 0.45.1-1 [33.2 kB] Ign:9 http://archive.ubuntu.com/ubuntu bionic-updates/main amd64 python-pil amd64 5.1.0-1ubuntu0.2 Err:9 http://security.ubuntu.com/ubuntu bionic-updates/main amd64 python-pil amd64 5.1.0-1ubuntu0.2 404 Not Found [IP: 91.189.88.152 80] Fetched 1,490 kB in 2s (954 kB/s) E: Failed to fetch http://security.ubuntu.com/ubuntu/pool/main/p/pillow/python-pil_5.1.0-1ubuntu0.2_amd64.deb 404 Not Found [IP: 91.189.88.152 80] E: Unable to fetch some archives, maybe run apt-get update or try with --fix-missing? Requirement already satisfied: Cython in /usr/local/lib/python3.6/dist-packages (0.29.21)
Compile the protobuf files¶
In [6]:
%cd /content/gdrive/My Drive/Car_And_Number_Plate/models/research/
!protoc object_detection/protos/*.proto --python_out=.
/content/gdrive/My Drive/Car_And_Number_Plate/models/research object_detection/protos/input_reader.proto: warning: Import object_detection/protos/image_resizer.proto but not used.
In [7]:
import os
os.environ['PYTHONPATH'] += ':/content/gdrive/My Drive/Car_And_Number_Plate/models/research/:/content/gdrive/My Drive/Car_And_Number_Plate/models/research/slim'
Run the following cell when you want to restart the session¶
In [ ]:
!python setup.py build
!python setup.py install
running build running build_py copying object_detection/eval_util_test.py -> build/lib/object_detection copying object_detection/__init__.py -> build/lib/object_detection copying object_detection/eval_util.py -> build/lib/object_detection copying object_detection/model_lib.py -> build/lib/object_detection copying object_detection/model_tpu_main.py -> build/lib/object_detection copying object_detection/model_main_tf2.py -> build/lib/object_detection copying object_detection/exporter.py -> build/lib/object_detection copying object_detection/export_tflite_ssd_graph_lib.py -> build/lib/object_detection copying object_detection/exporter_main_v2.py -> build/lib/object_detection copying object_detection/model_hparams.py -> build/lib/object_detection copying object_detection/export_tflite_ssd_graph.py -> build/lib/object_detection copying object_detection/export_inference_graph.py -> build/lib/object_detection copying object_detection/inputs_test.py -> build/lib/object_detection copying object_detection/inputs.py -> build/lib/object_detection copying object_detection/model_main.py -> build/lib/object_detection copying object_detection/export_tflite_ssd_graph_lib_tf1_test.py -> build/lib/object_detection copying object_detection/exporter_lib_tf2_test.py -> build/lib/object_detection copying object_detection/model_lib_v2.py -> build/lib/object_detection copying object_detection/model_lib_tf2_test.py -> build/lib/object_detection copying object_detection/model_lib_tf1_test.py -> build/lib/object_detection copying object_detection/exporter_lib_v2.py -> build/lib/object_detection copying object_detection/exporter_tf1_test.py -> build/lib/object_detection copying object_detection/Object_detection_image.py -> build/lib/object_detection copying object_detection/Object_detection_webcam.py -> build/lib/object_detection copying object_detection/sizeChecker.py -> build/lib/object_detection copying object_detection/resizer.py -> build/lib/object_detection copying object_detection/Object_detection_video.py -> build/lib/object_detection copying object_detection/xml_to_csv.py -> build/lib/object_detection copying object_detection/generate_tfrecord.py -> build/lib/object_detection copying object_detection/utils/autoaugment_utils.py -> build/lib/object_detection/utils copying object_detection/utils/__init__.py -> build/lib/object_detection/utils copying object_detection/utils/bifpn_utils.py -> build/lib/object_detection/utils copying object_detection/utils/metrics.py -> build/lib/object_detection/utils copying object_detection/utils/np_box_mask_list_test.py -> build/lib/object_detection/utils copying object_detection/utils/label_map_util_test.py -> build/lib/object_detection/utils copying object_detection/utils/category_util_test.py -> build/lib/object_detection/utils copying object_detection/utils/np_box_mask_list.py -> build/lib/object_detection/utils copying object_detection/utils/config_util.py -> build/lib/object_detection/utils copying object_detection/utils/colab_utils.py -> build/lib/object_detection/utils copying object_detection/utils/json_utils.py -> build/lib/object_detection/utils copying object_detection/utils/json_utils_test.py -> build/lib/object_detection/utils copying object_detection/utils/dataset_util_test.py -> build/lib/object_detection/utils copying object_detection/utils/np_box_list_test.py -> build/lib/object_detection/utils copying object_detection/utils/np_box_list_ops_test.py -> build/lib/object_detection/utils copying object_detection/utils/category_util.py -> build/lib/object_detection/utils copying object_detection/utils/np_box_mask_list_ops.py -> build/lib/object_detection/utils copying object_detection/utils/np_box_mask_list_ops_test.py -> build/lib/object_detection/utils copying object_detection/utils/dataset_util.py -> build/lib/object_detection/utils copying object_detection/utils/np_box_list.py -> build/lib/object_detection/utils copying object_detection/utils/context_manager.py -> build/lib/object_detection/utils copying object_detection/utils/learning_schedules.py -> build/lib/object_detection/utils copying object_detection/utils/context_manager_test.py -> build/lib/object_detection/utils copying object_detection/utils/model_util.py -> build/lib/object_detection/utils copying object_detection/utils/np_box_ops.py -> build/lib/object_detection/utils copying object_detection/utils/model_util_tf2_test.py -> build/lib/object_detection/utils copying object_detection/utils/label_map_util.py -> build/lib/object_detection/utils copying object_detection/utils/np_box_list_ops.py -> build/lib/object_detection/utils copying object_detection/utils/learning_schedules_test.py -> build/lib/object_detection/utils copying object_detection/utils/config_util_test.py -> build/lib/object_detection/utils copying object_detection/utils/metrics_test.py -> build/lib/object_detection/utils copying object_detection/utils/patch_ops_test.py -> build/lib/object_detection/utils copying object_detection/utils/per_image_evaluation.py -> build/lib/object_detection/utils copying object_detection/utils/test_case.py -> build/lib/object_detection/utils copying object_detection/utils/shape_utils.py -> build/lib/object_detection/utils copying object_detection/utils/ops.py -> build/lib/object_detection/utils copying object_detection/utils/static_shape.py -> build/lib/object_detection/utils copying object_detection/utils/visualization_utils.py -> build/lib/object_detection/utils copying object_detection/utils/spatial_transform_ops.py -> build/lib/object_detection/utils copying object_detection/utils/variables_helper_tf1_test.py -> build/lib/object_detection/utils copying object_detection/utils/per_image_vrd_evaluation_test.py -> build/lib/object_detection/utils copying object_detection/utils/per_image_vrd_evaluation.py -> build/lib/object_detection/utils copying object_detection/utils/patch_ops.py -> build/lib/object_detection/utils copying object_detection/utils/variables_helper.py -> build/lib/object_detection/utils copying object_detection/utils/ops_test.py -> build/lib/object_detection/utils copying object_detection/utils/target_assigner_utils.py -> build/lib/object_detection/utils copying object_detection/utils/object_detection_evaluation_test.py -> build/lib/object_detection/utils copying object_detection/utils/spatial_transform_ops_test.py -> build/lib/object_detection/utils copying object_detection/utils/tf_version.py -> build/lib/object_detection/utils copying object_detection/utils/test_case_test.py -> build/lib/object_detection/utils copying object_detection/utils/np_mask_ops_test.py -> build/lib/object_detection/utils copying object_detection/utils/per_image_evaluation_test.py -> build/lib/object_detection/utils copying object_detection/utils/test_utils_test.py -> build/lib/object_detection/utils copying object_detection/utils/np_mask_ops.py -> build/lib/object_detection/utils copying object_detection/utils/target_assigner_utils_test.py -> build/lib/object_detection/utils copying object_detection/utils/shape_utils_test.py -> build/lib/object_detection/utils copying object_detection/utils/static_shape_test.py -> build/lib/object_detection/utils copying object_detection/utils/test_utils.py -> build/lib/object_detection/utils copying object_detection/utils/np_box_ops_test.py -> build/lib/object_detection/utils copying object_detection/utils/object_detection_evaluation.py -> build/lib/object_detection/utils copying object_detection/utils/vrd_evaluation.py -> build/lib/object_detection/utils copying object_detection/utils/vrd_evaluation_test.py -> build/lib/object_detection/utils copying object_detection/utils/visualization_utils_test.py -> build/lib/object_detection/utils copying object_detection/tpu_exporters/utils.py -> build/lib/object_detection/tpu_exporters copying object_detection/tpu_exporters/ssd.py -> build/lib/object_detection/tpu_exporters copying object_detection/tpu_exporters/utils_test.py -> build/lib/object_detection/tpu_exporters copying object_detection/tpu_exporters/export_saved_model_tpu_lib_tf1_test.py -> build/lib/object_detection/tpu_exporters copying object_detection/tpu_exporters/export_saved_model_tpu.py -> build/lib/object_detection/tpu_exporters copying object_detection/tpu_exporters/__init__.py -> build/lib/object_detection/tpu_exporters copying object_detection/tpu_exporters/faster_rcnn.py -> build/lib/object_detection/tpu_exporters copying object_detection/tpu_exporters/export_saved_model_tpu_lib.py -> build/lib/object_detection/tpu_exporters copying object_detection/protos/__init__.py -> build/lib/object_detection/protos copying object_detection/protos/string_int_label_map_pb2.py -> build/lib/object_detection/protos copying object_detection/protos/faster_rcnn_pb2.py -> build/lib/object_detection/protos copying object_detection/protos/grid_anchor_generator_pb2.py -> build/lib/object_detection/protos copying object_detection/protos/region_similarity_calculator_pb2.py -> build/lib/object_detection/protos copying object_detection/protos/keypoint_box_coder_pb2.py -> build/lib/object_detection/protos copying object_detection/protos/mean_stddev_box_coder_pb2.py -> build/lib/object_detection/protos copying object_detection/protos/pipeline_pb2.py -> build/lib/object_detection/protos copying object_detection/protos/losses_pb2.py -> build/lib/object_detection/protos copying object_detection/protos/optimizer_pb2.py -> build/lib/object_detection/protos copying object_detection/protos/model_pb2.py -> build/lib/object_detection/protos copying object_detection/protos/box_coder_pb2.py -> build/lib/object_detection/protos copying object_detection/protos/multiscale_anchor_generator_pb2.py -> build/lib/object_detection/protos copying object_detection/protos/hyperparams_pb2.py -> build/lib/object_detection/protos copying object_detection/protos/image_resizer_pb2.py -> build/lib/object_detection/protos copying object_detection/protos/flexible_grid_anchor_generator_pb2.py -> build/lib/object_detection/protos copying object_detection/protos/faster_rcnn_box_coder_pb2.py -> build/lib/object_detection/protos copying object_detection/protos/matcher_pb2.py -> build/lib/object_detection/protos copying object_detection/protos/graph_rewriter_pb2.py -> build/lib/object_detection/protos copying object_detection/protos/square_box_coder_pb2.py -> build/lib/object_detection/protos copying object_detection/protos/box_predictor_pb2.py -> build/lib/object_detection/protos copying object_detection/protos/preprocessor_pb2.py -> build/lib/object_detection/protos copying object_detection/protos/ssd_anchor_generator_pb2.py -> build/lib/object_detection/protos copying object_detection/protos/post_processing_pb2.py -> build/lib/object_detection/protos copying object_detection/protos/calibration_pb2.py -> build/lib/object_detection/protos copying object_detection/protos/ssd_pb2.py -> build/lib/object_detection/protos copying object_detection/protos/input_reader_pb2.py -> build/lib/object_detection/protos copying object_detection/protos/train_pb2.py -> build/lib/object_detection/protos copying object_detection/protos/eval_pb2.py -> build/lib/object_detection/protos copying object_detection/protos/argmax_matcher_pb2.py -> build/lib/object_detection/protos copying object_detection/protos/anchor_generator_pb2.py -> build/lib/object_detection/protos copying object_detection/protos/bipartite_matcher_pb2.py -> build/lib/object_detection/protos copying object_detection/protos/center_net_pb2.py -> build/lib/object_detection/protos copying object_detection/protos/target_assigner_pb2.py -> build/lib/object_detection/protos copying object_detection/predictors/convolutional_box_predictor.py -> build/lib/object_detection/predictors copying object_detection/predictors/__init__.py -> build/lib/object_detection/predictors copying object_detection/predictors/rfcn_keras_box_predictor_tf2_test.py -> build/lib/object_detection/predictors copying object_detection/predictors/mask_rcnn_keras_box_predictor.py -> build/lib/object_detection/predictors copying object_detection/predictors/mask_rcnn_keras_box_predictor_tf2_test.py -> build/lib/object_detection/predictors copying object_detection/predictors/mask_rcnn_box_predictor.py -> build/lib/object_detection/predictors copying object_detection/predictors/rfcn_box_predictor.py -> build/lib/object_detection/predictors copying object_detection/predictors/convolutional_box_predictor_tf1_test.py -> build/lib/object_detection/predictors copying object_detection/predictors/mask_rcnn_box_predictor_tf1_test.py -> build/lib/object_detection/predictors copying object_detection/predictors/convolutional_keras_box_predictor_tf2_test.py -> build/lib/object_detection/predictors copying object_detection/predictors/convolutional_keras_box_predictor.py -> build/lib/object_detection/predictors copying object_detection/predictors/rfcn_keras_box_predictor.py -> build/lib/object_detection/predictors copying object_detection/predictors/rfcn_box_predictor_tf1_test.py -> build/lib/object_detection/predictors copying object_detection/metrics/coco_evaluation_test.py -> build/lib/object_detection/metrics copying object_detection/metrics/io_utils.py -> build/lib/object_detection/metrics copying object_detection/metrics/tf_example_parser_test.py -> build/lib/object_detection/metrics copying object_detection/metrics/offline_eval_map_corloc.py -> build/lib/object_detection/metrics copying object_detection/metrics/calibration_metrics_tf1_test.py -> build/lib/object_detection/metrics copying object_detection/metrics/calibration_metrics.py -> build/lib/object_detection/metrics copying object_detection/metrics/oid_challenge_evaluation_utils_test.py -> build/lib/object_detection/metrics copying object_detection/metrics/offline_eval_map_corloc_test.py -> build/lib/object_detection/metrics copying object_detection/metrics/calibration_evaluation_tf1_test.py -> build/lib/object_detection/metrics copying object_detection/metrics/oid_challenge_evaluation_utils.py -> build/lib/object_detection/metrics copying object_detection/metrics/oid_vrd_challenge_evaluation_utils_test.py -> build/lib/object_detection/metrics copying object_detection/metrics/coco_tools_test.py -> build/lib/object_detection/metrics copying object_detection/metrics/coco_evaluation.py -> build/lib/object_detection/metrics copying object_detection/metrics/__init__.py -> build/lib/object_detection/metrics copying object_detection/metrics/oid_vrd_challenge_evaluation_utils.py -> build/lib/object_detection/metrics copying object_detection/metrics/coco_tools.py -> build/lib/object_detection/metrics copying object_detection/metrics/calibration_evaluation.py -> build/lib/object_detection/metrics copying object_detection/metrics/oid_challenge_evaluation.py -> build/lib/object_detection/metrics copying object_detection/metrics/tf_example_parser.py -> build/lib/object_detection/metrics copying object_detection/metrics/oid_vrd_challenge_evaluation.py -> build/lib/object_detection/metrics copying object_detection/legacy/eval.py -> build/lib/object_detection/legacy copying object_detection/legacy/evaluator.py -> build/lib/object_detection/legacy copying object_detection/legacy/trainer.py -> build/lib/object_detection/legacy copying object_detection/legacy/__init__.py -> build/lib/object_detection/legacy copying object_detection/legacy/trainer_tf1_test.py -> build/lib/object_detection/legacy copying object_detection/legacy/train.py -> build/lib/object_detection/legacy copying object_detection/matchers/argmax_matcher_test.py -> build/lib/object_detection/matchers copying object_detection/matchers/__init__.py -> build/lib/object_detection/matchers copying object_detection/matchers/bipartite_matcher_tf1_test.py -> build/lib/object_detection/matchers copying object_detection/matchers/argmax_matcher.py -> build/lib/object_detection/matchers copying object_detection/matchers/bipartite_matcher.py -> build/lib/object_detection/matchers copying object_detection/meta_architectures/ssd_meta_arch_test_lib.py -> build/lib/object_detection/meta_architectures copying object_detection/meta_architectures/faster_rcnn_meta_arch_test.py -> build/lib/object_detection/meta_architectures copying object_detection/meta_architectures/ssd_meta_arch_test.py -> build/lib/object_detection/meta_architectures copying object_detection/meta_architectures/center_net_meta_arch.py -> build/lib/object_detection/meta_architectures copying object_detection/meta_architectures/faster_rcnn_meta_arch.py -> build/lib/object_detection/meta_architectures copying object_detection/meta_architectures/context_rcnn_lib_tf1_test.py -> build/lib/object_detection/meta_architectures copying object_detection/meta_architectures/context_rcnn_meta_arch_tf1_test.py -> build/lib/object_detection/meta_architectures copying object_detection/meta_architectures/ssd_meta_arch.py -> build/lib/object_detection/meta_architectures copying object_detection/meta_architectures/context_rcnn_meta_arch.py -> build/lib/object_detection/meta_architectures copying object_detection/meta_architectures/rfcn_meta_arch_test.py -> build/lib/object_detection/meta_architectures copying object_detection/meta_architectures/rfcn_meta_arch.py -> build/lib/object_detection/meta_architectures copying object_detection/meta_architectures/__init__.py -> build/lib/object_detection/meta_architectures copying object_detection/meta_architectures/faster_rcnn_meta_arch_test_lib.py -> build/lib/object_detection/meta_architectures copying object_detection/meta_architectures/context_rcnn_lib.py -> build/lib/object_detection/meta_architectures copying object_detection/meta_architectures/center_net_meta_arch_tf2_test.py -> build/lib/object_detection/meta_architectures copying object_detection/models/__init__.py -> build/lib/object_detection/models copying object_detection/models/bidirectional_feature_pyramid_generators.py -> build/lib/object_detection/models copying object_detection/models/bidirectional_feature_pyramid_generators_tf2_test.py -> build/lib/object_detection/models copying object_detection/models/faster_rcnn_resnet_keras_feature_extractor.py -> build/lib/object_detection/models copying object_detection/models/faster_rcnn_inception_v2_feature_extractor.py -> build/lib/object_detection/models copying object_detection/models/center_net_mobilenet_v2_feature_extractor_tf2_test.py -> build/lib/object_detection/models copying object_detection/models/center_net_hourglass_feature_extractor.py -> build/lib/object_detection/models copying object_detection/models/faster_rcnn_inception_resnet_v2_keras_feature_extractor_tf2_test.py -> build/lib/object_detection/models copying object_detection/models/faster_rcnn_inception_resnet_v2_feature_extractor_tf1_test.py -> build/lib/object_detection/models copying object_detection/models/faster_rcnn_nas_feature_extractor_tf1_test.py -> build/lib/object_detection/models copying object_detection/models/faster_rcnn_resnet_v1_feature_extractor.py -> build/lib/object_detection/models copying object_detection/models/center_net_resnet_feature_extractor.py -> build/lib/object_detection/models copying object_detection/models/center_net_resnet_v1_fpn_feature_extractor_tf2_test.py -> build/lib/object_detection/models copying object_detection/models/faster_rcnn_inception_resnet_v2_keras_feature_extractor.py -> build/lib/object_detection/models copying object_detection/models/center_net_mobilenet_v2_feature_extractor.py -> build/lib/object_detection/models copying object_detection/models/center_net_resnet_v1_fpn_feature_extractor.py -> build/lib/object_detection/models copying object_detection/models/embedded_ssd_mobilenet_v1_feature_extractor.py -> build/lib/object_detection/models copying object_detection/models/faster_rcnn_mobilenet_v1_feature_extractor_tf1_test.py -> build/lib/object_detection/models copying object_detection/models/faster_rcnn_nas_feature_extractor.py -> build/lib/object_detection/models copying object_detection/models/embedded_ssd_mobilenet_v1_feature_extractor_tf1_test.py -> build/lib/object_detection/models copying object_detection/models/faster_rcnn_inception_v2_feature_extractor_tf1_test.py -> build/lib/object_detection/models copying object_detection/models/faster_rcnn_pnas_feature_extractor_tf1_test.py -> build/lib/object_detection/models copying object_detection/models/center_net_hourglass_feature_extractor_tf2_test.py -> build/lib/object_detection/models copying object_detection/models/faster_rcnn_mobilenet_v1_feature_extractor.py -> build/lib/object_detection/models copying object_detection/models/faster_rcnn_resnet_keras_feature_extractor_tf2_test.py -> build/lib/object_detection/models copying object_detection/models/faster_rcnn_pnas_feature_extractor.py -> build/lib/object_detection/models copying object_detection/models/center_net_resnet_feature_extractor_tf2_test.py -> build/lib/object_detection/models copying object_detection/models/faster_rcnn_inception_resnet_v2_feature_extractor.py -> build/lib/object_detection/models copying object_detection/models/ssd_mobilenet_v1_fpn_feature_extractor_tf1_test.py -> build/lib/object_detection/models copying object_detection/models/feature_map_generators.py -> build/lib/object_detection/models copying object_detection/models/ssd_mobilenet_v1_feature_extractor_tf1_test.py -> build/lib/object_detection/models copying object_detection/models/ssd_mobilenet_v1_feature_extractor.py -> build/lib/object_detection/models copying object_detection/models/feature_map_generators_test.py -> build/lib/object_detection/models copying object_detection/models/faster_rcnn_resnet_v1_fpn_keras_feature_extractor_tf2_test.py -> build/lib/object_detection/models copying object_detection/models/ssd_mobiledet_feature_extractor.py -> build/lib/object_detection/models copying object_detection/models/ssd_inception_v3_feature_extractor_tf1_test.py -> build/lib/object_detection/models copying object_detection/models/faster_rcnn_resnet_v1_feature_extractor_tf1_test.py -> build/lib/object_detection/models copying object_detection/models/ssd_inception_v2_feature_extractor_tf1_test.py -> build/lib/object_detection/models copying object_detection/models/faster_rcnn_resnet_v1_fpn_keras_feature_extractor.py -> build/lib/object_detection/models copying object_detection/models/ssd_inception_v3_feature_extractor.py -> build/lib/object_detection/models copying object_detection/models/ssd_mobilenet_edgetpu_feature_extractor_testbase.py -> build/lib/object_detection/models copying object_detection/models/ssd_efficientnet_bifpn_feature_extractor_tf2_test.py -> build/lib/object_detection/models copying object_detection/models/ssd_feature_extractor_test.py -> build/lib/object_detection/models copying object_detection/models/ssd_mobilenet_edgetpu_feature_extractor.py -> build/lib/object_detection/models copying object_detection/models/ssd_mobiledet_feature_extractor_tf1_test.py -> build/lib/object_detection/models copying object_detection/models/ssd_mobilenet_v1_fpn_feature_extractor.py -> build/lib/object_detection/models copying object_detection/models/ssd_mobilenet_v1_feature_extractor_tf2_test.py -> build/lib/object_detection/models copying object_detection/models/ssd_mobilenet_edgetpu_feature_extractor_tf1_test.py -> build/lib/object_detection/models copying object_detection/models/ssd_inception_v2_feature_extractor.py -> build/lib/object_detection/models copying object_detection/models/ssd_efficientnet_bifpn_feature_extractor.py -> build/lib/object_detection/models copying object_detection/models/ssd_pnasnet_feature_extractor.py -> build/lib/object_detection/models copying object_detection/models/ssd_mobilenet_v2_fpn_feature_extractor.py -> build/lib/object_detection/models copying object_detection/models/ssd_mobilenet_v2_feature_extractor_tf1_test.py -> build/lib/object_detection/models copying object_detection/models/ssd_mobilenet_v1_fpn_feature_extractor_tf2_test.py -> build/lib/object_detection/models copying object_detection/models/ssd_mobilenet_v3_feature_extractor_tf1_test.py -> build/lib/object_detection/models copying object_detection/models/ssd_resnet_v1_fpn_feature_extractor.py -> build/lib/object_detection/models copying object_detection/models/ssd_mobilenet_v2_keras_feature_extractor.py -> build/lib/object_detection/models copying object_detection/models/ssd_resnet_v1_fpn_feature_extractor_testbase.py -> build/lib/object_detection/models copying object_detection/models/ssd_mobilenet_v2_feature_extractor.py -> build/lib/object_detection/models copying object_detection/models/ssd_mobilenet_v2_mnasfpn_feature_extractor_tf1_test.py -> build/lib/object_detection/models copying object_detection/models/ssd_mobilenet_v2_mnasfpn_feature_extractor.py -> build/lib/object_detection/models copying object_detection/models/ssd_mobilenet_v2_fpn_keras_feature_extractor.py -> build/lib/object_detection/models copying object_detection/models/ssd_mobilenet_v1_ppn_feature_extractor_tf1_test.py -> build/lib/object_detection/models copying object_detection/models/ssd_mobilenet_v2_fpn_feature_extractor_tf1_test.py -> build/lib/object_detection/models copying object_detection/models/ssd_pnasnet_feature_extractor_tf1_test.py -> build/lib/object_detection/models copying object_detection/models/ssd_mobilenet_v1_keras_feature_extractor.py -> build/lib/object_detection/models copying object_detection/models/ssd_mobilenet_v1_ppn_feature_extractor.py -> build/lib/object_detection/models copying object_detection/models/ssd_mobilenet_v1_fpn_keras_feature_extractor.py -> build/lib/object_detection/models copying object_detection/models/ssd_resnet_v1_fpn_feature_extractor_tf1_test.py -> build/lib/object_detection/models copying object_detection/models/ssd_resnet_v1_fpn_feature_extractor_tf2_test.py -> build/lib/object_detection/models copying object_detection/models/ssd_mobilenet_v3_feature_extractor.py -> build/lib/object_detection/models copying object_detection/models/ssd_mobilenet_v3_feature_extractor_testbase.py -> build/lib/object_detection/models copying object_detection/models/ssd_mobilenet_v2_feature_extractor_tf2_test.py -> build/lib/object_detection/models copying object_detection/models/ssd_mobilenet_v2_fpn_feature_extractor_tf2_test.py -> build/lib/object_detection/models copying object_detection/models/ssd_resnet_v1_ppn_feature_extractor.py -> build/lib/object_detection/models copying object_detection/models/ssd_resnet_v1_ppn_feature_extractor_testbase.py -> build/lib/object_detection/models copying object_detection/models/ssd_resnet_v1_fpn_keras_feature_extractor.py -> build/lib/object_detection/models copying object_detection/models/ssd_resnet_v1_ppn_feature_extractor_tf1_test.py -> build/lib/object_detection/models copying object_detection/inference/detection_inference_tf1_test.py -> build/lib/object_detection/inference copying object_detection/inference/__init__.py -> build/lib/object_detection/inference copying object_detection/inference/detection_inference.py -> build/lib/object_detection/inference copying object_detection/inference/infer_detections.py -> build/lib/object_detection/inference copying object_detection/data_decoders/tf_sequence_example_decoder.py -> build/lib/object_detection/data_decoders copying object_detection/data_decoders/__init__.py -> build/lib/object_detection/data_decoders copying object_detection/data_decoders/tf_example_decoder.py -> build/lib/object_detection/data_decoders copying object_detection/data_decoders/tf_example_decoder_test.py -> build/lib/object_detection/data_decoders copying object_detection/data_decoders/tf_sequence_example_decoder_test.py -> build/lib/object_detection/data_decoders copying object_detection/dataset_tools/create_coco_tf_record.py -> build/lib/object_detection/dataset_tools copying object_detection/dataset_tools/create_kitti_tf_record_test.py -> build/lib/object_detection/dataset_tools copying object_detection/dataset_tools/create_coco_tf_record_test.py -> build/lib/object_detection/dataset_tools copying object_detection/dataset_tools/__init__.py -> build/lib/object_detection/dataset_tools copying object_detection/dataset_tools/create_kitti_tf_record.py -> build/lib/object_detection/dataset_tools copying object_detection/dataset_tools/oid_tfrecord_creation.py -> build/lib/object_detection/dataset_tools copying object_detection/dataset_tools/create_pascal_tf_record_test.py -> build/lib/object_detection/dataset_tools copying object_detection/dataset_tools/tf_record_creation_util_test.py -> build/lib/object_detection/dataset_tools copying object_detection/dataset_tools/seq_example_util.py -> build/lib/object_detection/dataset_tools copying object_detection/dataset_tools/oid_hierarchical_labels_expansion_test.py -> build/lib/object_detection/dataset_tools copying object_detection/dataset_tools/tf_record_creation_util.py -> build/lib/object_detection/dataset_tools copying object_detection/dataset_tools/oid_hierarchical_labels_expansion.py -> build/lib/object_detection/dataset_tools copying object_detection/dataset_tools/create_pascal_tf_record.py -> build/lib/object_detection/dataset_tools copying object_detection/dataset_tools/create_oid_tf_record.py -> build/lib/object_detection/dataset_tools copying object_detection/dataset_tools/create_pet_tf_record.py -> build/lib/object_detection/dataset_tools copying object_detection/dataset_tools/seq_example_util_test.py -> build/lib/object_detection/dataset_tools copying object_detection/dataset_tools/oid_tfrecord_creation_test.py -> build/lib/object_detection/dataset_tools copying object_detection/core/box_list_test.py -> build/lib/object_detection/core copying object_detection/core/anchor_generator.py -> build/lib/object_detection/core copying object_detection/core/__init__.py -> build/lib/object_detection/core copying object_detection/core/balanced_positive_negative_sampler_test.py -> build/lib/object_detection/core copying object_detection/core/box_coder_test.py -> build/lib/object_detection/core copying object_detection/core/batch_multiclass_nms_test.py -> build/lib/object_detection/core copying object_detection/core/batcher_tf1_test.py -> build/lib/object_detection/core copying object_detection/core/box_list_ops.py -> build/lib/object_detection/core copying object_detection/core/batcher.py -> build/lib/object_detection/core copying object_detection/core/box_list.py -> build/lib/object_detection/core copying object_detection/core/balanced_positive_negative_sampler.py -> build/lib/object_detection/core copying object_detection/core/box_list_ops_test.py -> build/lib/object_detection/core copying object_detection/core/box_coder.py -> build/lib/object_detection/core copying object_detection/core/region_similarity_calculator.py -> build/lib/object_detection/core copying object_detection/core/model.py -> build/lib/object_detection/core copying object_detection/core/keypoint_ops.py -> build/lib/object_detection/core copying object_detection/core/preprocessor.py -> build/lib/object_detection/core copying object_detection/core/losses.py -> build/lib/object_detection/core copying object_detection/core/matcher.py -> build/lib/object_detection/core copying object_detection/core/keypoint_ops_test.py -> build/lib/object_detection/core copying object_detection/core/data_parser.py -> build/lib/object_detection/core copying object_detection/core/densepose_ops.py -> build/lib/object_detection/core copying object_detection/core/model_test.py -> build/lib/object_detection/core copying object_detection/core/freezable_batch_norm_tf2_test.py -> build/lib/object_detection/core copying object_detection/core/preprocessor_test.py -> build/lib/object_detection/core copying object_detection/core/data_decoder.py -> build/lib/object_detection/core copying object_detection/core/box_predictor.py -> build/lib/object_detection/core copying object_detection/core/densepose_ops_test.py -> build/lib/object_detection/core copying object_detection/core/region_similarity_calculator_test.py -> build/lib/object_detection/core copying object_detection/core/minibatch_sampler_test.py -> build/lib/object_detection/core copying object_detection/core/minibatch_sampler.py -> build/lib/object_detection/core copying object_detection/core/matcher_test.py -> build/lib/object_detection/core copying object_detection/core/multiclass_nms_test.py -> build/lib/object_detection/core copying object_detection/core/post_processing.py -> build/lib/object_detection/core copying object_detection/core/freezable_batch_norm.py -> build/lib/object_detection/core copying object_detection/core/prefetcher.py -> build/lib/object_detection/core copying object_detection/core/preprocessor_cache.py -> build/lib/object_detection/core copying object_detection/core/prefetcher_tf1_test.py -> build/lib/object_detection/core copying object_detection/core/losses_test.py -> build/lib/object_detection/core copying object_detection/core/class_agnostic_nms_test.py -> build/lib/object_detection/core copying object_detection/core/standard_fields.py -> build/lib/object_detection/core copying object_detection/core/target_assigner.py -> build/lib/object_detection/core copying object_detection/core/target_assigner_test.py -> build/lib/object_detection/core copying object_detection/box_coders/faster_rcnn_box_coder_test.py -> build/lib/object_detection/box_coders copying object_detection/box_coders/__init__.py -> build/lib/object_detection/box_coders copying object_detection/box_coders/square_box_coder.py -> build/lib/object_detection/box_coders copying object_detection/box_coders/keypoint_box_coder_test.py -> build/lib/object_detection/box_coders copying object_detection/box_coders/square_box_coder_test.py -> build/lib/object_detection/box_coders copying object_detection/box_coders/mean_stddev_box_coder_test.py -> build/lib/object_detection/box_coders copying object_detection/box_coders/faster_rcnn_box_coder.py -> build/lib/object_detection/box_coders copying object_detection/box_coders/keypoint_box_coder.py -> build/lib/object_detection/box_coders copying object_detection/box_coders/mean_stddev_box_coder.py -> build/lib/object_detection/box_coders copying object_detection/anchor_generators/flexible_grid_anchor_generator.py -> build/lib/object_detection/anchor_generators copying object_detection/anchor_generators/__init__.py -> build/lib/object_detection/anchor_generators copying object_detection/anchor_generators/grid_anchor_generator.py -> build/lib/object_detection/anchor_generators copying object_detection/anchor_generators/multiple_grid_anchor_generator_test.py -> build/lib/object_detection/anchor_generators copying object_detection/anchor_generators/multiscale_grid_anchor_generator_test.py -> build/lib/object_detection/anchor_generators copying object_detection/anchor_generators/multiple_grid_anchor_generator.py -> build/lib/object_detection/anchor_generators copying object_detection/anchor_generators/grid_anchor_generator_test.py -> build/lib/object_detection/anchor_generators copying object_detection/anchor_generators/multiscale_grid_anchor_generator.py -> build/lib/object_detection/anchor_generators copying object_detection/anchor_generators/flexible_grid_anchor_generator_test.py -> build/lib/object_detection/anchor_generators copying object_detection/builders/box_predictor_builder_test.py -> build/lib/object_detection/builders copying object_detection/builders/anchor_generator_builder_test.py -> build/lib/object_detection/builders copying object_detection/builders/box_coder_builder_test.py -> build/lib/object_detection/builders copying object_detection/builders/calibration_builder.py -> build/lib/object_detection/builders copying object_detection/builders/dataset_builder.py -> build/lib/object_detection/builders copying object_detection/builders/__init__.py -> build/lib/object_detection/builders copying object_detection/builders/calibration_builder_test.py -> build/lib/object_detection/builders copying object_detection/builders/anchor_generator_builder.py -> build/lib/object_detection/builders copying object_detection/builders/box_coder_builder.py -> build/lib/object_detection/builders copying object_detection/builders/box_predictor_builder.py -> build/lib/object_detection/builders copying object_detection/builders/decoder_builder_test.py -> build/lib/object_detection/builders copying object_detection/builders/image_resizer_builder_test.py -> build/lib/object_detection/builders copying object_detection/builders/post_processing_builder.py -> build/lib/object_detection/builders copying object_detection/builders/optimizer_builder.py -> build/lib/object_detection/builders copying object_detection/builders/model_builder_tf1_test.py -> build/lib/object_detection/builders copying object_detection/builders/input_reader_builder.py -> build/lib/object_detection/builders copying object_detection/builders/model_builder.py -> build/lib/object_detection/builders copying object_detection/builders/graph_rewriter_builder.py -> build/lib/object_detection/builders copying object_detection/builders/post_processing_builder_test.py -> build/lib/object_detection/builders copying object_detection/builders/dataset_builder_test.py -> build/lib/object_detection/builders copying object_detection/builders/graph_rewriter_builder_tf1_test.py -> build/lib/object_detection/builders copying object_detection/builders/optimizer_builder_tf2_test.py -> build/lib/object_detection/builders copying object_detection/builders/image_resizer_builder.py -> build/lib/object_detection/builders copying object_detection/builders/model_builder_tf2_test.py -> build/lib/object_detection/builders copying object_detection/builders/optimizer_builder_tf1_test.py -> build/lib/object_detection/builders copying object_detection/builders/input_reader_builder_tf1_test.py -> build/lib/object_detection/builders copying object_detection/builders/decoder_builder.py -> build/lib/object_detection/builders copying object_detection/builders/losses_builder_test.py -> build/lib/object_detection/builders copying object_detection/builders/losses_builder.py -> build/lib/object_detection/builders copying object_detection/builders/matcher_builder_test.py -> build/lib/object_detection/builders copying object_detection/builders/hyperparams_builder_test.py -> build/lib/object_detection/builders copying object_detection/builders/matcher_builder.py -> build/lib/object_detection/builders copying object_detection/builders/hyperparams_builder.py -> build/lib/object_detection/builders copying object_detection/builders/preprocessor_builder.py -> build/lib/object_detection/builders copying object_detection/builders/model_builder_test.py -> build/lib/object_detection/builders copying object_detection/builders/preprocessor_builder_test.py -> build/lib/object_detection/builders copying object_detection/builders/target_assigner_builder.py -> build/lib/object_detection/builders copying object_detection/builders/region_similarity_calculator_builder.py -> build/lib/object_detection/builders copying object_detection/builders/region_similarity_calculator_builder_test.py -> build/lib/object_detection/builders copying object_detection/builders/target_assigner_builder_test.py -> build/lib/object_detection/builders copying object_detection/tpu_exporters/testdata/__init__.py -> build/lib/object_detection/tpu_exporters/testdata copying object_detection/predictors/heads/__init__.py -> build/lib/object_detection/predictors/heads copying object_detection/predictors/heads/mask_head_tf1_test.py -> build/lib/object_detection/predictors/heads copying object_detection/predictors/heads/keypoint_head_tf1_test.py -> build/lib/object_detection/predictors/heads copying object_detection/predictors/heads/keras_mask_head.py -> build/lib/object_detection/predictors/heads copying object_detection/predictors/heads/keras_mask_head_tf2_test.py -> build/lib/object_detection/predictors/heads copying object_detection/predictors/heads/mask_head.py -> build/lib/object_detection/predictors/heads copying object_detection/predictors/heads/class_head.py -> build/lib/object_detection/predictors/heads copying object_detection/predictors/heads/box_head_tf1_test.py -> build/lib/object_detection/predictors/heads copying object_detection/predictors/heads/keypoint_head.py -> build/lib/object_detection/predictors/heads copying object_detection/predictors/heads/keras_class_head_tf2_test.py -> build/lib/object_detection/predictors/heads copying object_detection/predictors/heads/keras_box_head_tf2_test.py -> build/lib/object_detection/predictors/heads copying object_detection/predictors/heads/keras_class_head.py -> build/lib/object_detection/predictors/heads copying object_detection/predictors/heads/head.py -> build/lib/object_detection/predictors/heads copying object_detection/predictors/heads/keras_box_head.py -> build/lib/object_detection/predictors/heads copying object_detection/predictors/heads/class_head_tf1_test.py -> build/lib/object_detection/predictors/heads copying object_detection/predictors/heads/box_head.py -> build/lib/object_detection/predictors/heads copying object_detection/models/keras_models/__init__.py -> build/lib/object_detection/models/keras_models copying object_detection/models/keras_models/hourglass_network.py -> build/lib/object_detection/models/keras_models copying object_detection/models/keras_models/hourglass_network_tf2_test.py -> build/lib/object_detection/models/keras_models copying object_detection/models/keras_models/resnet_v1_tf2_test.py -> build/lib/object_detection/models/keras_models copying object_detection/models/keras_models/mobilenet_v2.py -> build/lib/object_detection/models/keras_models copying object_detection/models/keras_models/mobilenet_v2_tf2_test.py -> build/lib/object_detection/models/keras_models copying object_detection/models/keras_models/test_utils.py -> build/lib/object_detection/models/keras_models copying object_detection/models/keras_models/resnet_v1.py -> build/lib/object_detection/models/keras_models copying object_detection/models/keras_models/model_utils.py -> build/lib/object_detection/models/keras_models copying object_detection/models/keras_models/mobilenet_v1_tf2_test.py -> build/lib/object_detection/models/keras_models copying object_detection/models/keras_models/mobilenet_v1.py -> build/lib/object_detection/models/keras_models copying object_detection/models/keras_models/convert_keras_models.py -> build/lib/object_detection/models/keras_models copying object_detection/models/keras_models/inception_resnet_v2_tf2_test.py -> build/lib/object_detection/models/keras_models copying object_detection/models/keras_models/inception_resnet_v2.py -> build/lib/object_detection/models/keras_models running egg_info writing object_detection.egg-info/PKG-INFO writing dependency_links to object_detection.egg-info/dependency_links.txt writing requirements to object_detection.egg-info/requires.txt writing top-level names to object_detection.egg-info/top_level.txt reading manifest file 'object_detection.egg-info/SOURCES.txt' writing manifest file 'object_detection.egg-info/SOURCES.txt' running install running bdist_egg running egg_info writing object_detection.egg-info/PKG-INFO writing dependency_links to object_detection.egg-info/dependency_links.txt writing requirements to object_detection.egg-info/requires.txt writing top-level names to object_detection.egg-info/top_level.txt reading manifest file 'object_detection.egg-info/SOURCES.txt' writing manifest file 'object_detection.egg-info/SOURCES.txt' installing library code to build/bdist.linux-x86_64/egg running install_lib running build_py creating build/bdist.linux-x86_64 creating build/bdist.linux-x86_64/egg creating build/bdist.linux-x86_64/egg/object_detection creating build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/autoaugment_utils.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/__init__.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/bifpn_utils.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/metrics.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/np_box_mask_list_test.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/label_map_util_test.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/category_util_test.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/np_box_mask_list.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/config_util.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/colab_utils.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/json_utils.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/json_utils_test.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/dataset_util_test.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/np_box_list_test.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/np_box_list_ops_test.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/category_util.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/np_box_mask_list_ops.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/np_box_mask_list_ops_test.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/dataset_util.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/np_box_list.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/context_manager.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/learning_schedules.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/context_manager_test.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/model_util.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/np_box_ops.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/model_util_tf2_test.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/label_map_util.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/np_box_list_ops.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/learning_schedules_test.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/config_util_test.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/metrics_test.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/patch_ops_test.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/per_image_evaluation.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/test_case.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/shape_utils.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/ops.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/static_shape.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/visualization_utils.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/spatial_transform_ops.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/variables_helper_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/per_image_vrd_evaluation_test.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/per_image_vrd_evaluation.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/patch_ops.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/variables_helper.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/ops_test.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/target_assigner_utils.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/object_detection_evaluation_test.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/spatial_transform_ops_test.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/tf_version.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/test_case_test.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/np_mask_ops_test.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/per_image_evaluation_test.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/test_utils_test.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/np_mask_ops.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/target_assigner_utils_test.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/shape_utils_test.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/static_shape_test.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/test_utils.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/np_box_ops_test.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/object_detection_evaluation.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/vrd_evaluation.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/vrd_evaluation_test.py -> build/bdist.linux-x86_64/egg/object_detection/utils copying build/lib/object_detection/utils/visualization_utils_test.py -> build/bdist.linux-x86_64/egg/object_detection/utils creating build/bdist.linux-x86_64/egg/object_detection/metrics copying build/lib/object_detection/metrics/coco_evaluation_test.py -> build/bdist.linux-x86_64/egg/object_detection/metrics copying build/lib/object_detection/metrics/io_utils.py -> build/bdist.linux-x86_64/egg/object_detection/metrics copying build/lib/object_detection/metrics/tf_example_parser_test.py -> build/bdist.linux-x86_64/egg/object_detection/metrics copying build/lib/object_detection/metrics/offline_eval_map_corloc.py -> build/bdist.linux-x86_64/egg/object_detection/metrics copying build/lib/object_detection/metrics/calibration_metrics_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection/metrics copying build/lib/object_detection/metrics/calibration_metrics.py -> build/bdist.linux-x86_64/egg/object_detection/metrics copying build/lib/object_detection/metrics/oid_challenge_evaluation_utils_test.py -> build/bdist.linux-x86_64/egg/object_detection/metrics copying build/lib/object_detection/metrics/offline_eval_map_corloc_test.py -> build/bdist.linux-x86_64/egg/object_detection/metrics copying build/lib/object_detection/metrics/calibration_evaluation_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection/metrics copying build/lib/object_detection/metrics/oid_challenge_evaluation_utils.py -> build/bdist.linux-x86_64/egg/object_detection/metrics copying build/lib/object_detection/metrics/oid_vrd_challenge_evaluation_utils_test.py -> build/bdist.linux-x86_64/egg/object_detection/metrics copying build/lib/object_detection/metrics/coco_tools_test.py -> build/bdist.linux-x86_64/egg/object_detection/metrics copying build/lib/object_detection/metrics/coco_evaluation.py -> build/bdist.linux-x86_64/egg/object_detection/metrics copying build/lib/object_detection/metrics/__init__.py -> build/bdist.linux-x86_64/egg/object_detection/metrics copying build/lib/object_detection/metrics/oid_vrd_challenge_evaluation_utils.py -> build/bdist.linux-x86_64/egg/object_detection/metrics copying build/lib/object_detection/metrics/coco_tools.py -> build/bdist.linux-x86_64/egg/object_detection/metrics copying build/lib/object_detection/metrics/calibration_evaluation.py -> build/bdist.linux-x86_64/egg/object_detection/metrics copying build/lib/object_detection/metrics/oid_challenge_evaluation.py -> build/bdist.linux-x86_64/egg/object_detection/metrics copying build/lib/object_detection/metrics/tf_example_parser.py -> build/bdist.linux-x86_64/egg/object_detection/metrics copying build/lib/object_detection/metrics/oid_vrd_challenge_evaluation.py -> build/bdist.linux-x86_64/egg/object_detection/metrics creating build/bdist.linux-x86_64/egg/object_detection/tpu_exporters creating build/bdist.linux-x86_64/egg/object_detection/tpu_exporters/testdata copying build/lib/object_detection/tpu_exporters/testdata/__init__.py -> build/bdist.linux-x86_64/egg/object_detection/tpu_exporters/testdata copying build/lib/object_detection/tpu_exporters/utils.py -> build/bdist.linux-x86_64/egg/object_detection/tpu_exporters copying build/lib/object_detection/tpu_exporters/ssd.py -> build/bdist.linux-x86_64/egg/object_detection/tpu_exporters copying build/lib/object_detection/tpu_exporters/utils_test.py -> build/bdist.linux-x86_64/egg/object_detection/tpu_exporters copying build/lib/object_detection/tpu_exporters/export_saved_model_tpu_lib_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection/tpu_exporters copying build/lib/object_detection/tpu_exporters/export_saved_model_tpu.py -> build/bdist.linux-x86_64/egg/object_detection/tpu_exporters copying build/lib/object_detection/tpu_exporters/__init__.py -> build/bdist.linux-x86_64/egg/object_detection/tpu_exporters copying build/lib/object_detection/tpu_exporters/faster_rcnn.py -> build/bdist.linux-x86_64/egg/object_detection/tpu_exporters copying build/lib/object_detection/tpu_exporters/export_saved_model_tpu_lib.py -> build/bdist.linux-x86_64/egg/object_detection/tpu_exporters creating build/bdist.linux-x86_64/egg/object_detection/predictors creating build/bdist.linux-x86_64/egg/object_detection/predictors/heads copying build/lib/object_detection/predictors/heads/__init__.py -> build/bdist.linux-x86_64/egg/object_detection/predictors/heads copying build/lib/object_detection/predictors/heads/mask_head_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection/predictors/heads copying build/lib/object_detection/predictors/heads/keypoint_head_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection/predictors/heads copying build/lib/object_detection/predictors/heads/keras_mask_head.py -> build/bdist.linux-x86_64/egg/object_detection/predictors/heads copying build/lib/object_detection/predictors/heads/keras_mask_head_tf2_test.py -> build/bdist.linux-x86_64/egg/object_detection/predictors/heads copying build/lib/object_detection/predictors/heads/mask_head.py -> build/bdist.linux-x86_64/egg/object_detection/predictors/heads copying build/lib/object_detection/predictors/heads/class_head.py -> build/bdist.linux-x86_64/egg/object_detection/predictors/heads copying build/lib/object_detection/predictors/heads/box_head_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection/predictors/heads copying build/lib/object_detection/predictors/heads/keypoint_head.py -> build/bdist.linux-x86_64/egg/object_detection/predictors/heads copying build/lib/object_detection/predictors/heads/keras_class_head_tf2_test.py -> build/bdist.linux-x86_64/egg/object_detection/predictors/heads copying build/lib/object_detection/predictors/heads/keras_box_head_tf2_test.py -> build/bdist.linux-x86_64/egg/object_detection/predictors/heads copying build/lib/object_detection/predictors/heads/keras_class_head.py -> build/bdist.linux-x86_64/egg/object_detection/predictors/heads copying build/lib/object_detection/predictors/heads/head.py -> build/bdist.linux-x86_64/egg/object_detection/predictors/heads copying build/lib/object_detection/predictors/heads/keras_box_head.py -> build/bdist.linux-x86_64/egg/object_detection/predictors/heads copying build/lib/object_detection/predictors/heads/class_head_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection/predictors/heads copying build/lib/object_detection/predictors/heads/box_head.py -> build/bdist.linux-x86_64/egg/object_detection/predictors/heads copying build/lib/object_detection/predictors/convolutional_box_predictor.py -> build/bdist.linux-x86_64/egg/object_detection/predictors copying build/lib/object_detection/predictors/__init__.py -> build/bdist.linux-x86_64/egg/object_detection/predictors copying build/lib/object_detection/predictors/rfcn_keras_box_predictor_tf2_test.py -> build/bdist.linux-x86_64/egg/object_detection/predictors copying build/lib/object_detection/predictors/mask_rcnn_keras_box_predictor.py -> build/bdist.linux-x86_64/egg/object_detection/predictors copying build/lib/object_detection/predictors/mask_rcnn_keras_box_predictor_tf2_test.py -> build/bdist.linux-x86_64/egg/object_detection/predictors copying build/lib/object_detection/predictors/mask_rcnn_box_predictor.py -> build/bdist.linux-x86_64/egg/object_detection/predictors copying build/lib/object_detection/predictors/rfcn_box_predictor.py -> build/bdist.linux-x86_64/egg/object_detection/predictors copying build/lib/object_detection/predictors/convolutional_box_predictor_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection/predictors copying build/lib/object_detection/predictors/mask_rcnn_box_predictor_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection/predictors copying build/lib/object_detection/predictors/convolutional_keras_box_predictor_tf2_test.py -> build/bdist.linux-x86_64/egg/object_detection/predictors copying build/lib/object_detection/predictors/convolutional_keras_box_predictor.py -> build/bdist.linux-x86_64/egg/object_detection/predictors copying build/lib/object_detection/predictors/rfcn_keras_box_predictor.py -> build/bdist.linux-x86_64/egg/object_detection/predictors copying build/lib/object_detection/predictors/rfcn_box_predictor_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection/predictors creating build/bdist.linux-x86_64/egg/object_detection/protos copying build/lib/object_detection/protos/__init__.py -> build/bdist.linux-x86_64/egg/object_detection/protos copying build/lib/object_detection/protos/string_int_label_map_pb2.py -> build/bdist.linux-x86_64/egg/object_detection/protos copying build/lib/object_detection/protos/faster_rcnn_pb2.py -> build/bdist.linux-x86_64/egg/object_detection/protos copying build/lib/object_detection/protos/grid_anchor_generator_pb2.py -> build/bdist.linux-x86_64/egg/object_detection/protos copying build/lib/object_detection/protos/region_similarity_calculator_pb2.py -> build/bdist.linux-x86_64/egg/object_detection/protos copying build/lib/object_detection/protos/keypoint_box_coder_pb2.py -> build/bdist.linux-x86_64/egg/object_detection/protos copying build/lib/object_detection/protos/mean_stddev_box_coder_pb2.py -> build/bdist.linux-x86_64/egg/object_detection/protos copying build/lib/object_detection/protos/pipeline_pb2.py -> build/bdist.linux-x86_64/egg/object_detection/protos copying build/lib/object_detection/protos/losses_pb2.py -> build/bdist.linux-x86_64/egg/object_detection/protos copying build/lib/object_detection/protos/optimizer_pb2.py -> build/bdist.linux-x86_64/egg/object_detection/protos copying build/lib/object_detection/protos/model_pb2.py -> build/bdist.linux-x86_64/egg/object_detection/protos copying build/lib/object_detection/protos/box_coder_pb2.py -> build/bdist.linux-x86_64/egg/object_detection/protos copying build/lib/object_detection/protos/multiscale_anchor_generator_pb2.py -> build/bdist.linux-x86_64/egg/object_detection/protos copying build/lib/object_detection/protos/hyperparams_pb2.py -> build/bdist.linux-x86_64/egg/object_detection/protos copying build/lib/object_detection/protos/image_resizer_pb2.py -> build/bdist.linux-x86_64/egg/object_detection/protos copying build/lib/object_detection/protos/flexible_grid_anchor_generator_pb2.py -> build/bdist.linux-x86_64/egg/object_detection/protos copying build/lib/object_detection/protos/faster_rcnn_box_coder_pb2.py -> build/bdist.linux-x86_64/egg/object_detection/protos copying build/lib/object_detection/protos/matcher_pb2.py -> build/bdist.linux-x86_64/egg/object_detection/protos copying build/lib/object_detection/protos/graph_rewriter_pb2.py -> build/bdist.linux-x86_64/egg/object_detection/protos copying build/lib/object_detection/protos/square_box_coder_pb2.py -> build/bdist.linux-x86_64/egg/object_detection/protos copying build/lib/object_detection/protos/box_predictor_pb2.py -> build/bdist.linux-x86_64/egg/object_detection/protos copying build/lib/object_detection/protos/preprocessor_pb2.py -> build/bdist.linux-x86_64/egg/object_detection/protos copying build/lib/object_detection/protos/ssd_anchor_generator_pb2.py -> build/bdist.linux-x86_64/egg/object_detection/protos copying build/lib/object_detection/protos/post_processing_pb2.py -> build/bdist.linux-x86_64/egg/object_detection/protos copying build/lib/object_detection/protos/calibration_pb2.py -> build/bdist.linux-x86_64/egg/object_detection/protos copying build/lib/object_detection/protos/ssd_pb2.py -> build/bdist.linux-x86_64/egg/object_detection/protos copying build/lib/object_detection/protos/input_reader_pb2.py -> build/bdist.linux-x86_64/egg/object_detection/protos copying build/lib/object_detection/protos/train_pb2.py -> build/bdist.linux-x86_64/egg/object_detection/protos copying build/lib/object_detection/protos/eval_pb2.py -> build/bdist.linux-x86_64/egg/object_detection/protos copying build/lib/object_detection/protos/argmax_matcher_pb2.py -> build/bdist.linux-x86_64/egg/object_detection/protos copying build/lib/object_detection/protos/anchor_generator_pb2.py -> build/bdist.linux-x86_64/egg/object_detection/protos copying build/lib/object_detection/protos/bipartite_matcher_pb2.py -> build/bdist.linux-x86_64/egg/object_detection/protos copying build/lib/object_detection/protos/center_net_pb2.py -> build/bdist.linux-x86_64/egg/object_detection/protos copying build/lib/object_detection/protos/target_assigner_pb2.py -> build/bdist.linux-x86_64/egg/object_detection/protos creating build/bdist.linux-x86_64/egg/object_detection/models creating build/bdist.linux-x86_64/egg/object_detection/models/keras_models copying build/lib/object_detection/models/keras_models/__init__.py -> build/bdist.linux-x86_64/egg/object_detection/models/keras_models copying build/lib/object_detection/models/keras_models/hourglass_network.py -> build/bdist.linux-x86_64/egg/object_detection/models/keras_models copying build/lib/object_detection/models/keras_models/hourglass_network_tf2_test.py -> build/bdist.linux-x86_64/egg/object_detection/models/keras_models copying build/lib/object_detection/models/keras_models/resnet_v1_tf2_test.py -> build/bdist.linux-x86_64/egg/object_detection/models/keras_models copying build/lib/object_detection/models/keras_models/mobilenet_v2.py -> build/bdist.linux-x86_64/egg/object_detection/models/keras_models copying build/lib/object_detection/models/keras_models/mobilenet_v2_tf2_test.py -> build/bdist.linux-x86_64/egg/object_detection/models/keras_models copying build/lib/object_detection/models/keras_models/test_utils.py -> build/bdist.linux-x86_64/egg/object_detection/models/keras_models copying build/lib/object_detection/models/keras_models/resnet_v1.py -> build/bdist.linux-x86_64/egg/object_detection/models/keras_models copying build/lib/object_detection/models/keras_models/model_utils.py -> build/bdist.linux-x86_64/egg/object_detection/models/keras_models copying build/lib/object_detection/models/keras_models/mobilenet_v1_tf2_test.py -> build/bdist.linux-x86_64/egg/object_detection/models/keras_models copying build/lib/object_detection/models/keras_models/mobilenet_v1.py -> build/bdist.linux-x86_64/egg/object_detection/models/keras_models copying build/lib/object_detection/models/keras_models/convert_keras_models.py -> build/bdist.linux-x86_64/egg/object_detection/models/keras_models copying build/lib/object_detection/models/keras_models/inception_resnet_v2_tf2_test.py -> build/bdist.linux-x86_64/egg/object_detection/models/keras_models copying build/lib/object_detection/models/keras_models/inception_resnet_v2.py -> build/bdist.linux-x86_64/egg/object_detection/models/keras_models copying build/lib/object_detection/models/__init__.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/bidirectional_feature_pyramid_generators.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/bidirectional_feature_pyramid_generators_tf2_test.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/faster_rcnn_resnet_keras_feature_extractor.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/faster_rcnn_inception_v2_feature_extractor.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/center_net_mobilenet_v2_feature_extractor_tf2_test.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/center_net_hourglass_feature_extractor.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/faster_rcnn_inception_resnet_v2_keras_feature_extractor_tf2_test.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/faster_rcnn_inception_resnet_v2_feature_extractor_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/faster_rcnn_nas_feature_extractor_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/faster_rcnn_resnet_v1_feature_extractor.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/center_net_resnet_feature_extractor.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/center_net_resnet_v1_fpn_feature_extractor_tf2_test.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/faster_rcnn_inception_resnet_v2_keras_feature_extractor.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/center_net_mobilenet_v2_feature_extractor.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/center_net_resnet_v1_fpn_feature_extractor.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/embedded_ssd_mobilenet_v1_feature_extractor.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/faster_rcnn_mobilenet_v1_feature_extractor_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/faster_rcnn_nas_feature_extractor.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/embedded_ssd_mobilenet_v1_feature_extractor_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/faster_rcnn_inception_v2_feature_extractor_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/faster_rcnn_pnas_feature_extractor_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/center_net_hourglass_feature_extractor_tf2_test.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/faster_rcnn_mobilenet_v1_feature_extractor.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/faster_rcnn_resnet_keras_feature_extractor_tf2_test.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/faster_rcnn_pnas_feature_extractor.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/center_net_resnet_feature_extractor_tf2_test.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/faster_rcnn_inception_resnet_v2_feature_extractor.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/ssd_mobilenet_v1_fpn_feature_extractor_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/feature_map_generators.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/ssd_mobilenet_v1_feature_extractor_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/ssd_mobilenet_v1_feature_extractor.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/feature_map_generators_test.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/faster_rcnn_resnet_v1_fpn_keras_feature_extractor_tf2_test.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/ssd_mobiledet_feature_extractor.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/ssd_inception_v3_feature_extractor_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/faster_rcnn_resnet_v1_feature_extractor_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/ssd_inception_v2_feature_extractor_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/faster_rcnn_resnet_v1_fpn_keras_feature_extractor.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/ssd_inception_v3_feature_extractor.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/ssd_mobilenet_edgetpu_feature_extractor_testbase.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/ssd_efficientnet_bifpn_feature_extractor_tf2_test.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/ssd_feature_extractor_test.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/ssd_mobilenet_edgetpu_feature_extractor.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/ssd_mobiledet_feature_extractor_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/ssd_mobilenet_v1_fpn_feature_extractor.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/ssd_mobilenet_v1_feature_extractor_tf2_test.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/ssd_mobilenet_edgetpu_feature_extractor_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/ssd_inception_v2_feature_extractor.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/ssd_efficientnet_bifpn_feature_extractor.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/ssd_pnasnet_feature_extractor.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/ssd_mobilenet_v2_fpn_feature_extractor.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/ssd_mobilenet_v2_feature_extractor_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/ssd_mobilenet_v1_fpn_feature_extractor_tf2_test.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/ssd_mobilenet_v3_feature_extractor_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/ssd_resnet_v1_fpn_feature_extractor.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/ssd_mobilenet_v2_keras_feature_extractor.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/ssd_resnet_v1_fpn_feature_extractor_testbase.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/ssd_mobilenet_v2_feature_extractor.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/ssd_mobilenet_v2_mnasfpn_feature_extractor_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/ssd_mobilenet_v2_mnasfpn_feature_extractor.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/ssd_mobilenet_v2_fpn_keras_feature_extractor.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/ssd_mobilenet_v1_ppn_feature_extractor_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/ssd_mobilenet_v2_fpn_feature_extractor_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/ssd_pnasnet_feature_extractor_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/ssd_mobilenet_v1_keras_feature_extractor.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/ssd_mobilenet_v1_ppn_feature_extractor.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/ssd_mobilenet_v1_fpn_keras_feature_extractor.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/ssd_resnet_v1_fpn_feature_extractor_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/ssd_resnet_v1_fpn_feature_extractor_tf2_test.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/ssd_mobilenet_v3_feature_extractor.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/ssd_mobilenet_v3_feature_extractor_testbase.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/ssd_mobilenet_v2_feature_extractor_tf2_test.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/ssd_mobilenet_v2_fpn_feature_extractor_tf2_test.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/ssd_resnet_v1_ppn_feature_extractor.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/ssd_resnet_v1_ppn_feature_extractor_testbase.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/ssd_resnet_v1_fpn_keras_feature_extractor.py -> build/bdist.linux-x86_64/egg/object_detection/models copying build/lib/object_detection/models/ssd_resnet_v1_ppn_feature_extractor_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection/models creating build/bdist.linux-x86_64/egg/object_detection/matchers copying build/lib/object_detection/matchers/argmax_matcher_test.py -> build/bdist.linux-x86_64/egg/object_detection/matchers copying build/lib/object_detection/matchers/__init__.py -> build/bdist.linux-x86_64/egg/object_detection/matchers copying build/lib/object_detection/matchers/bipartite_matcher_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection/matchers copying build/lib/object_detection/matchers/argmax_matcher.py -> build/bdist.linux-x86_64/egg/object_detection/matchers copying build/lib/object_detection/matchers/bipartite_matcher.py -> build/bdist.linux-x86_64/egg/object_detection/matchers creating build/bdist.linux-x86_64/egg/object_detection/meta_architectures copying build/lib/object_detection/meta_architectures/ssd_meta_arch_test_lib.py -> build/bdist.linux-x86_64/egg/object_detection/meta_architectures copying build/lib/object_detection/meta_architectures/faster_rcnn_meta_arch_test.py -> build/bdist.linux-x86_64/egg/object_detection/meta_architectures copying build/lib/object_detection/meta_architectures/ssd_meta_arch_test.py -> build/bdist.linux-x86_64/egg/object_detection/meta_architectures copying build/lib/object_detection/meta_architectures/center_net_meta_arch.py -> build/bdist.linux-x86_64/egg/object_detection/meta_architectures copying build/lib/object_detection/meta_architectures/faster_rcnn_meta_arch.py -> build/bdist.linux-x86_64/egg/object_detection/meta_architectures copying build/lib/object_detection/meta_architectures/context_rcnn_lib_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection/meta_architectures copying build/lib/object_detection/meta_architectures/context_rcnn_meta_arch_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection/meta_architectures copying build/lib/object_detection/meta_architectures/ssd_meta_arch.py -> build/bdist.linux-x86_64/egg/object_detection/meta_architectures copying build/lib/object_detection/meta_architectures/context_rcnn_meta_arch.py -> build/bdist.linux-x86_64/egg/object_detection/meta_architectures copying build/lib/object_detection/meta_architectures/rfcn_meta_arch_test.py -> build/bdist.linux-x86_64/egg/object_detection/meta_architectures copying build/lib/object_detection/meta_architectures/rfcn_meta_arch.py -> build/bdist.linux-x86_64/egg/object_detection/meta_architectures copying build/lib/object_detection/meta_architectures/__init__.py -> build/bdist.linux-x86_64/egg/object_detection/meta_architectures copying build/lib/object_detection/meta_architectures/faster_rcnn_meta_arch_test_lib.py -> build/bdist.linux-x86_64/egg/object_detection/meta_architectures copying build/lib/object_detection/meta_architectures/context_rcnn_lib.py -> build/bdist.linux-x86_64/egg/object_detection/meta_architectures copying build/lib/object_detection/meta_architectures/center_net_meta_arch_tf2_test.py -> build/bdist.linux-x86_64/egg/object_detection/meta_architectures creating build/bdist.linux-x86_64/egg/object_detection/legacy copying build/lib/object_detection/legacy/eval.py -> build/bdist.linux-x86_64/egg/object_detection/legacy copying build/lib/object_detection/legacy/evaluator.py -> build/bdist.linux-x86_64/egg/object_detection/legacy copying build/lib/object_detection/legacy/trainer.py -> build/bdist.linux-x86_64/egg/object_detection/legacy copying build/lib/object_detection/legacy/__init__.py -> build/bdist.linux-x86_64/egg/object_detection/legacy copying build/lib/object_detection/legacy/trainer_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection/legacy copying build/lib/object_detection/legacy/train.py -> build/bdist.linux-x86_64/egg/object_detection/legacy creating build/bdist.linux-x86_64/egg/object_detection/inference copying build/lib/object_detection/inference/detection_inference_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection/inference copying build/lib/object_detection/inference/__init__.py -> build/bdist.linux-x86_64/egg/object_detection/inference copying build/lib/object_detection/inference/detection_inference.py -> build/bdist.linux-x86_64/egg/object_detection/inference copying build/lib/object_detection/inference/infer_detections.py -> build/bdist.linux-x86_64/egg/object_detection/inference creating build/bdist.linux-x86_64/egg/object_detection/data_decoders copying build/lib/object_detection/data_decoders/tf_sequence_example_decoder.py -> build/bdist.linux-x86_64/egg/object_detection/data_decoders copying build/lib/object_detection/data_decoders/__init__.py -> build/bdist.linux-x86_64/egg/object_detection/data_decoders copying build/lib/object_detection/data_decoders/tf_example_decoder.py -> build/bdist.linux-x86_64/egg/object_detection/data_decoders copying build/lib/object_detection/data_decoders/tf_example_decoder_test.py -> build/bdist.linux-x86_64/egg/object_detection/data_decoders copying build/lib/object_detection/data_decoders/tf_sequence_example_decoder_test.py -> build/bdist.linux-x86_64/egg/object_detection/data_decoders creating build/bdist.linux-x86_64/egg/object_detection/core copying build/lib/object_detection/core/box_list_test.py -> build/bdist.linux-x86_64/egg/object_detection/core copying build/lib/object_detection/core/anchor_generator.py -> build/bdist.linux-x86_64/egg/object_detection/core copying build/lib/object_detection/core/__init__.py -> build/bdist.linux-x86_64/egg/object_detection/core copying build/lib/object_detection/core/balanced_positive_negative_sampler_test.py -> build/bdist.linux-x86_64/egg/object_detection/core copying build/lib/object_detection/core/box_coder_test.py -> build/bdist.linux-x86_64/egg/object_detection/core copying build/lib/object_detection/core/batch_multiclass_nms_test.py -> build/bdist.linux-x86_64/egg/object_detection/core copying build/lib/object_detection/core/batcher_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection/core copying build/lib/object_detection/core/box_list_ops.py -> build/bdist.linux-x86_64/egg/object_detection/core copying build/lib/object_detection/core/batcher.py -> build/bdist.linux-x86_64/egg/object_detection/core copying build/lib/object_detection/core/box_list.py -> build/bdist.linux-x86_64/egg/object_detection/core copying build/lib/object_detection/core/balanced_positive_negative_sampler.py -> build/bdist.linux-x86_64/egg/object_detection/core copying build/lib/object_detection/core/box_list_ops_test.py -> build/bdist.linux-x86_64/egg/object_detection/core copying build/lib/object_detection/core/box_coder.py -> build/bdist.linux-x86_64/egg/object_detection/core copying build/lib/object_detection/core/region_similarity_calculator.py -> build/bdist.linux-x86_64/egg/object_detection/core copying build/lib/object_detection/core/model.py -> build/bdist.linux-x86_64/egg/object_detection/core copying build/lib/object_detection/core/keypoint_ops.py -> build/bdist.linux-x86_64/egg/object_detection/core copying build/lib/object_detection/core/preprocessor.py -> build/bdist.linux-x86_64/egg/object_detection/core copying build/lib/object_detection/core/losses.py -> build/bdist.linux-x86_64/egg/object_detection/core copying build/lib/object_detection/core/matcher.py -> build/bdist.linux-x86_64/egg/object_detection/core copying build/lib/object_detection/core/keypoint_ops_test.py -> build/bdist.linux-x86_64/egg/object_detection/core copying build/lib/object_detection/core/data_parser.py -> build/bdist.linux-x86_64/egg/object_detection/core copying build/lib/object_detection/core/densepose_ops.py -> build/bdist.linux-x86_64/egg/object_detection/core copying build/lib/object_detection/core/model_test.py -> build/bdist.linux-x86_64/egg/object_detection/core copying build/lib/object_detection/core/freezable_batch_norm_tf2_test.py -> build/bdist.linux-x86_64/egg/object_detection/core copying build/lib/object_detection/core/preprocessor_test.py -> build/bdist.linux-x86_64/egg/object_detection/core copying build/lib/object_detection/core/data_decoder.py -> build/bdist.linux-x86_64/egg/object_detection/core copying build/lib/object_detection/core/box_predictor.py -> build/bdist.linux-x86_64/egg/object_detection/core copying build/lib/object_detection/core/densepose_ops_test.py -> build/bdist.linux-x86_64/egg/object_detection/core copying build/lib/object_detection/core/region_similarity_calculator_test.py -> build/bdist.linux-x86_64/egg/object_detection/core copying build/lib/object_detection/core/minibatch_sampler_test.py -> build/bdist.linux-x86_64/egg/object_detection/core copying build/lib/object_detection/core/minibatch_sampler.py -> build/bdist.linux-x86_64/egg/object_detection/core copying build/lib/object_detection/core/matcher_test.py -> build/bdist.linux-x86_64/egg/object_detection/core copying build/lib/object_detection/core/multiclass_nms_test.py -> build/bdist.linux-x86_64/egg/object_detection/core copying build/lib/object_detection/core/post_processing.py -> build/bdist.linux-x86_64/egg/object_detection/core copying build/lib/object_detection/core/freezable_batch_norm.py -> build/bdist.linux-x86_64/egg/object_detection/core copying build/lib/object_detection/core/prefetcher.py -> build/bdist.linux-x86_64/egg/object_detection/core copying build/lib/object_detection/core/preprocessor_cache.py -> build/bdist.linux-x86_64/egg/object_detection/core copying build/lib/object_detection/core/prefetcher_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection/core copying build/lib/object_detection/core/losses_test.py -> build/bdist.linux-x86_64/egg/object_detection/core copying build/lib/object_detection/core/class_agnostic_nms_test.py -> build/bdist.linux-x86_64/egg/object_detection/core copying build/lib/object_detection/core/standard_fields.py -> build/bdist.linux-x86_64/egg/object_detection/core copying build/lib/object_detection/core/target_assigner.py -> build/bdist.linux-x86_64/egg/object_detection/core copying build/lib/object_detection/core/target_assigner_test.py -> build/bdist.linux-x86_64/egg/object_detection/core creating build/bdist.linux-x86_64/egg/object_detection/dataset_tools creating build/bdist.linux-x86_64/egg/object_detection/dataset_tools/context_rcnn copying build/lib/object_detection/dataset_tools/create_coco_tf_record.py -> build/bdist.linux-x86_64/egg/object_detection/dataset_tools copying build/lib/object_detection/dataset_tools/create_kitti_tf_record_test.py -> build/bdist.linux-x86_64/egg/object_detection/dataset_tools copying build/lib/object_detection/dataset_tools/create_coco_tf_record_test.py -> build/bdist.linux-x86_64/egg/object_detection/dataset_tools copying build/lib/object_detection/dataset_tools/__init__.py -> build/bdist.linux-x86_64/egg/object_detection/dataset_tools copying build/lib/object_detection/dataset_tools/create_kitti_tf_record.py -> build/bdist.linux-x86_64/egg/object_detection/dataset_tools copying build/lib/object_detection/dataset_tools/oid_tfrecord_creation.py -> build/bdist.linux-x86_64/egg/object_detection/dataset_tools copying build/lib/object_detection/dataset_tools/create_pascal_tf_record_test.py -> build/bdist.linux-x86_64/egg/object_detection/dataset_tools copying build/lib/object_detection/dataset_tools/tf_record_creation_util_test.py -> build/bdist.linux-x86_64/egg/object_detection/dataset_tools copying build/lib/object_detection/dataset_tools/seq_example_util.py -> build/bdist.linux-x86_64/egg/object_detection/dataset_tools copying build/lib/object_detection/dataset_tools/oid_hierarchical_labels_expansion_test.py -> build/bdist.linux-x86_64/egg/object_detection/dataset_tools copying build/lib/object_detection/dataset_tools/tf_record_creation_util.py -> build/bdist.linux-x86_64/egg/object_detection/dataset_tools copying build/lib/object_detection/dataset_tools/oid_hierarchical_labels_expansion.py -> build/bdist.linux-x86_64/egg/object_detection/dataset_tools copying build/lib/object_detection/dataset_tools/create_pascal_tf_record.py -> build/bdist.linux-x86_64/egg/object_detection/dataset_tools copying build/lib/object_detection/dataset_tools/create_oid_tf_record.py -> build/bdist.linux-x86_64/egg/object_detection/dataset_tools copying build/lib/object_detection/dataset_tools/create_pet_tf_record.py -> build/bdist.linux-x86_64/egg/object_detection/dataset_tools copying build/lib/object_detection/dataset_tools/seq_example_util_test.py -> build/bdist.linux-x86_64/egg/object_detection/dataset_tools copying build/lib/object_detection/dataset_tools/oid_tfrecord_creation_test.py -> build/bdist.linux-x86_64/egg/object_detection/dataset_tools creating build/bdist.linux-x86_64/egg/object_detection/anchor_generators copying build/lib/object_detection/anchor_generators/flexible_grid_anchor_generator.py -> build/bdist.linux-x86_64/egg/object_detection/anchor_generators copying build/lib/object_detection/anchor_generators/__init__.py -> build/bdist.linux-x86_64/egg/object_detection/anchor_generators copying build/lib/object_detection/anchor_generators/grid_anchor_generator.py -> build/bdist.linux-x86_64/egg/object_detection/anchor_generators copying build/lib/object_detection/anchor_generators/multiple_grid_anchor_generator_test.py -> build/bdist.linux-x86_64/egg/object_detection/anchor_generators copying build/lib/object_detection/anchor_generators/multiscale_grid_anchor_generator_test.py -> build/bdist.linux-x86_64/egg/object_detection/anchor_generators copying build/lib/object_detection/anchor_generators/multiple_grid_anchor_generator.py -> build/bdist.linux-x86_64/egg/object_detection/anchor_generators copying build/lib/object_detection/anchor_generators/grid_anchor_generator_test.py -> build/bdist.linux-x86_64/egg/object_detection/anchor_generators copying build/lib/object_detection/anchor_generators/multiscale_grid_anchor_generator.py -> build/bdist.linux-x86_64/egg/object_detection/anchor_generators copying build/lib/object_detection/anchor_generators/flexible_grid_anchor_generator_test.py -> build/bdist.linux-x86_64/egg/object_detection/anchor_generators creating build/bdist.linux-x86_64/egg/object_detection/box_coders copying build/lib/object_detection/box_coders/faster_rcnn_box_coder_test.py -> build/bdist.linux-x86_64/egg/object_detection/box_coders copying build/lib/object_detection/box_coders/__init__.py -> build/bdist.linux-x86_64/egg/object_detection/box_coders copying build/lib/object_detection/box_coders/square_box_coder.py -> build/bdist.linux-x86_64/egg/object_detection/box_coders copying build/lib/object_detection/box_coders/keypoint_box_coder_test.py -> build/bdist.linux-x86_64/egg/object_detection/box_coders copying build/lib/object_detection/box_coders/square_box_coder_test.py -> build/bdist.linux-x86_64/egg/object_detection/box_coders copying build/lib/object_detection/box_coders/mean_stddev_box_coder_test.py -> build/bdist.linux-x86_64/egg/object_detection/box_coders copying build/lib/object_detection/box_coders/faster_rcnn_box_coder.py -> build/bdist.linux-x86_64/egg/object_detection/box_coders copying build/lib/object_detection/box_coders/keypoint_box_coder.py -> build/bdist.linux-x86_64/egg/object_detection/box_coders copying build/lib/object_detection/box_coders/mean_stddev_box_coder.py -> build/bdist.linux-x86_64/egg/object_detection/box_coders creating build/bdist.linux-x86_64/egg/object_detection/builders copying build/lib/object_detection/builders/box_predictor_builder_test.py -> build/bdist.linux-x86_64/egg/object_detection/builders copying build/lib/object_detection/builders/anchor_generator_builder_test.py -> build/bdist.linux-x86_64/egg/object_detection/builders copying build/lib/object_detection/builders/box_coder_builder_test.py -> build/bdist.linux-x86_64/egg/object_detection/builders copying build/lib/object_detection/builders/calibration_builder.py -> build/bdist.linux-x86_64/egg/object_detection/builders copying build/lib/object_detection/builders/dataset_builder.py -> build/bdist.linux-x86_64/egg/object_detection/builders copying build/lib/object_detection/builders/__init__.py -> build/bdist.linux-x86_64/egg/object_detection/builders copying build/lib/object_detection/builders/calibration_builder_test.py -> build/bdist.linux-x86_64/egg/object_detection/builders copying build/lib/object_detection/builders/anchor_generator_builder.py -> build/bdist.linux-x86_64/egg/object_detection/builders copying build/lib/object_detection/builders/box_coder_builder.py -> build/bdist.linux-x86_64/egg/object_detection/builders copying build/lib/object_detection/builders/box_predictor_builder.py -> build/bdist.linux-x86_64/egg/object_detection/builders copying build/lib/object_detection/builders/decoder_builder_test.py -> build/bdist.linux-x86_64/egg/object_detection/builders copying build/lib/object_detection/builders/image_resizer_builder_test.py -> build/bdist.linux-x86_64/egg/object_detection/builders copying build/lib/object_detection/builders/post_processing_builder.py -> build/bdist.linux-x86_64/egg/object_detection/builders copying build/lib/object_detection/builders/optimizer_builder.py -> build/bdist.linux-x86_64/egg/object_detection/builders copying build/lib/object_detection/builders/model_builder_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection/builders copying build/lib/object_detection/builders/input_reader_builder.py -> build/bdist.linux-x86_64/egg/object_detection/builders copying build/lib/object_detection/builders/model_builder.py -> build/bdist.linux-x86_64/egg/object_detection/builders copying build/lib/object_detection/builders/graph_rewriter_builder.py -> build/bdist.linux-x86_64/egg/object_detection/builders copying build/lib/object_detection/builders/post_processing_builder_test.py -> build/bdist.linux-x86_64/egg/object_detection/builders copying build/lib/object_detection/builders/dataset_builder_test.py -> build/bdist.linux-x86_64/egg/object_detection/builders copying build/lib/object_detection/builders/graph_rewriter_builder_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection/builders copying build/lib/object_detection/builders/optimizer_builder_tf2_test.py -> build/bdist.linux-x86_64/egg/object_detection/builders copying build/lib/object_detection/builders/image_resizer_builder.py -> build/bdist.linux-x86_64/egg/object_detection/builders copying build/lib/object_detection/builders/model_builder_tf2_test.py -> build/bdist.linux-x86_64/egg/object_detection/builders copying build/lib/object_detection/builders/optimizer_builder_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection/builders copying build/lib/object_detection/builders/input_reader_builder_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection/builders copying build/lib/object_detection/builders/decoder_builder.py -> build/bdist.linux-x86_64/egg/object_detection/builders copying build/lib/object_detection/builders/losses_builder_test.py -> build/bdist.linux-x86_64/egg/object_detection/builders copying build/lib/object_detection/builders/losses_builder.py -> build/bdist.linux-x86_64/egg/object_detection/builders copying build/lib/object_detection/builders/matcher_builder_test.py -> build/bdist.linux-x86_64/egg/object_detection/builders copying build/lib/object_detection/builders/hyperparams_builder_test.py -> build/bdist.linux-x86_64/egg/object_detection/builders copying build/lib/object_detection/builders/matcher_builder.py -> build/bdist.linux-x86_64/egg/object_detection/builders copying build/lib/object_detection/builders/hyperparams_builder.py -> build/bdist.linux-x86_64/egg/object_detection/builders copying build/lib/object_detection/builders/preprocessor_builder.py -> build/bdist.linux-x86_64/egg/object_detection/builders copying build/lib/object_detection/builders/model_builder_test.py -> build/bdist.linux-x86_64/egg/object_detection/builders copying build/lib/object_detection/builders/preprocessor_builder_test.py -> build/bdist.linux-x86_64/egg/object_detection/builders copying build/lib/object_detection/builders/target_assigner_builder.py -> build/bdist.linux-x86_64/egg/object_detection/builders copying build/lib/object_detection/builders/region_similarity_calculator_builder.py -> build/bdist.linux-x86_64/egg/object_detection/builders copying build/lib/object_detection/builders/region_similarity_calculator_builder_test.py -> build/bdist.linux-x86_64/egg/object_detection/builders copying build/lib/object_detection/builders/target_assigner_builder_test.py -> build/bdist.linux-x86_64/egg/object_detection/builders copying build/lib/object_detection/eval_util_test.py -> build/bdist.linux-x86_64/egg/object_detection copying build/lib/object_detection/__init__.py -> build/bdist.linux-x86_64/egg/object_detection copying build/lib/object_detection/eval_util.py -> build/bdist.linux-x86_64/egg/object_detection copying build/lib/object_detection/model_lib.py -> build/bdist.linux-x86_64/egg/object_detection copying build/lib/object_detection/model_tpu_main.py -> build/bdist.linux-x86_64/egg/object_detection copying build/lib/object_detection/model_main_tf2.py -> build/bdist.linux-x86_64/egg/object_detection copying build/lib/object_detection/exporter.py -> build/bdist.linux-x86_64/egg/object_detection copying build/lib/object_detection/export_tflite_ssd_graph_lib.py -> build/bdist.linux-x86_64/egg/object_detection copying build/lib/object_detection/exporter_main_v2.py -> build/bdist.linux-x86_64/egg/object_detection copying build/lib/object_detection/model_hparams.py -> build/bdist.linux-x86_64/egg/object_detection copying build/lib/object_detection/export_tflite_ssd_graph.py -> build/bdist.linux-x86_64/egg/object_detection copying build/lib/object_detection/export_inference_graph.py -> build/bdist.linux-x86_64/egg/object_detection copying build/lib/object_detection/inputs_test.py -> build/bdist.linux-x86_64/egg/object_detection copying build/lib/object_detection/inputs.py -> build/bdist.linux-x86_64/egg/object_detection copying build/lib/object_detection/model_main.py -> build/bdist.linux-x86_64/egg/object_detection copying build/lib/object_detection/export_tflite_ssd_graph_lib_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection copying build/lib/object_detection/exporter_lib_tf2_test.py -> build/bdist.linux-x86_64/egg/object_detection copying build/lib/object_detection/model_lib_v2.py -> build/bdist.linux-x86_64/egg/object_detection copying build/lib/object_detection/model_lib_tf2_test.py -> build/bdist.linux-x86_64/egg/object_detection copying build/lib/object_detection/model_lib_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection copying build/lib/object_detection/exporter_lib_v2.py -> build/bdist.linux-x86_64/egg/object_detection copying build/lib/object_detection/exporter_tf1_test.py -> build/bdist.linux-x86_64/egg/object_detection copying build/lib/object_detection/Object_detection_image.py -> build/bdist.linux-x86_64/egg/object_detection copying build/lib/object_detection/Object_detection_webcam.py -> build/bdist.linux-x86_64/egg/object_detection copying build/lib/object_detection/sizeChecker.py -> build/bdist.linux-x86_64/egg/object_detection copying build/lib/object_detection/resizer.py -> build/bdist.linux-x86_64/egg/object_detection copying build/lib/object_detection/Object_detection_video.py -> build/bdist.linux-x86_64/egg/object_detection copying build/lib/object_detection/xml_to_csv.py -> build/bdist.linux-x86_64/egg/object_detection copying build/lib/object_detection/generate_tfrecord.py -> build/bdist.linux-x86_64/egg/object_detection byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/autoaugment_utils.py to autoaugment_utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/bifpn_utils.py to bifpn_utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/metrics.py to metrics.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/np_box_mask_list_test.py to np_box_mask_list_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/label_map_util_test.py to label_map_util_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/category_util_test.py to category_util_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/np_box_mask_list.py to np_box_mask_list.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/config_util.py to config_util.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/colab_utils.py to colab_utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/json_utils.py to json_utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/json_utils_test.py to json_utils_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/dataset_util_test.py to dataset_util_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/np_box_list_test.py to np_box_list_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/np_box_list_ops_test.py to np_box_list_ops_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/category_util.py to category_util.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/np_box_mask_list_ops.py to np_box_mask_list_ops.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/np_box_mask_list_ops_test.py to np_box_mask_list_ops_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/dataset_util.py to dataset_util.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/np_box_list.py to np_box_list.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/context_manager.py to context_manager.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/learning_schedules.py to learning_schedules.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/context_manager_test.py to context_manager_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/model_util.py to model_util.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/np_box_ops.py to np_box_ops.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/model_util_tf2_test.py to model_util_tf2_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/label_map_util.py to label_map_util.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/np_box_list_ops.py to np_box_list_ops.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/learning_schedules_test.py to learning_schedules_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/config_util_test.py to config_util_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/metrics_test.py to metrics_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/patch_ops_test.py to patch_ops_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/per_image_evaluation.py to per_image_evaluation.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/test_case.py to test_case.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/shape_utils.py to shape_utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/ops.py to ops.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/static_shape.py to static_shape.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/visualization_utils.py to visualization_utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/spatial_transform_ops.py to spatial_transform_ops.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/variables_helper_tf1_test.py to variables_helper_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/per_image_vrd_evaluation_test.py to per_image_vrd_evaluation_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/per_image_vrd_evaluation.py to per_image_vrd_evaluation.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/patch_ops.py to patch_ops.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/variables_helper.py to variables_helper.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/ops_test.py to ops_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/target_assigner_utils.py to target_assigner_utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/object_detection_evaluation_test.py to object_detection_evaluation_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/spatial_transform_ops_test.py to spatial_transform_ops_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/tf_version.py to tf_version.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/test_case_test.py to test_case_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/np_mask_ops_test.py to np_mask_ops_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/per_image_evaluation_test.py to per_image_evaluation_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/test_utils_test.py to test_utils_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/np_mask_ops.py to np_mask_ops.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/target_assigner_utils_test.py to target_assigner_utils_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/shape_utils_test.py to shape_utils_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/static_shape_test.py to static_shape_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/test_utils.py to test_utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/np_box_ops_test.py to np_box_ops_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/object_detection_evaluation.py to object_detection_evaluation.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/vrd_evaluation.py to vrd_evaluation.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/vrd_evaluation_test.py to vrd_evaluation_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/utils/visualization_utils_test.py to visualization_utils_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/metrics/coco_evaluation_test.py to coco_evaluation_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/metrics/io_utils.py to io_utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/metrics/tf_example_parser_test.py to tf_example_parser_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/metrics/offline_eval_map_corloc.py to offline_eval_map_corloc.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/metrics/calibration_metrics_tf1_test.py to calibration_metrics_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/metrics/calibration_metrics.py to calibration_metrics.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/metrics/oid_challenge_evaluation_utils_test.py to oid_challenge_evaluation_utils_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/metrics/offline_eval_map_corloc_test.py to offline_eval_map_corloc_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/metrics/calibration_evaluation_tf1_test.py to calibration_evaluation_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/metrics/oid_challenge_evaluation_utils.py to oid_challenge_evaluation_utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/metrics/oid_vrd_challenge_evaluation_utils_test.py to oid_vrd_challenge_evaluation_utils_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/metrics/coco_tools_test.py to coco_tools_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/metrics/coco_evaluation.py to coco_evaluation.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/metrics/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/metrics/oid_vrd_challenge_evaluation_utils.py to oid_vrd_challenge_evaluation_utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/metrics/coco_tools.py to coco_tools.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/metrics/calibration_evaluation.py to calibration_evaluation.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/metrics/oid_challenge_evaluation.py to oid_challenge_evaluation.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/metrics/tf_example_parser.py to tf_example_parser.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/metrics/oid_vrd_challenge_evaluation.py to oid_vrd_challenge_evaluation.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/tpu_exporters/testdata/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/tpu_exporters/utils.py to utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/tpu_exporters/ssd.py to ssd.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/tpu_exporters/utils_test.py to utils_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/tpu_exporters/export_saved_model_tpu_lib_tf1_test.py to export_saved_model_tpu_lib_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/tpu_exporters/export_saved_model_tpu.py to export_saved_model_tpu.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/tpu_exporters/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/tpu_exporters/faster_rcnn.py to faster_rcnn.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/tpu_exporters/export_saved_model_tpu_lib.py to export_saved_model_tpu_lib.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/predictors/heads/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/predictors/heads/mask_head_tf1_test.py to mask_head_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/predictors/heads/keypoint_head_tf1_test.py to keypoint_head_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/predictors/heads/keras_mask_head.py to keras_mask_head.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/predictors/heads/keras_mask_head_tf2_test.py to keras_mask_head_tf2_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/predictors/heads/mask_head.py to mask_head.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/predictors/heads/class_head.py to class_head.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/predictors/heads/box_head_tf1_test.py to box_head_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/predictors/heads/keypoint_head.py to keypoint_head.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/predictors/heads/keras_class_head_tf2_test.py to keras_class_head_tf2_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/predictors/heads/keras_box_head_tf2_test.py to keras_box_head_tf2_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/predictors/heads/keras_class_head.py to keras_class_head.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/predictors/heads/head.py to head.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/predictors/heads/keras_box_head.py to keras_box_head.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/predictors/heads/class_head_tf1_test.py to class_head_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/predictors/heads/box_head.py to box_head.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/predictors/convolutional_box_predictor.py to convolutional_box_predictor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/predictors/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/predictors/rfcn_keras_box_predictor_tf2_test.py to rfcn_keras_box_predictor_tf2_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/predictors/mask_rcnn_keras_box_predictor.py to mask_rcnn_keras_box_predictor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/predictors/mask_rcnn_keras_box_predictor_tf2_test.py to mask_rcnn_keras_box_predictor_tf2_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/predictors/mask_rcnn_box_predictor.py to mask_rcnn_box_predictor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/predictors/rfcn_box_predictor.py to rfcn_box_predictor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/predictors/convolutional_box_predictor_tf1_test.py to convolutional_box_predictor_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/predictors/mask_rcnn_box_predictor_tf1_test.py to mask_rcnn_box_predictor_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/predictors/convolutional_keras_box_predictor_tf2_test.py to convolutional_keras_box_predictor_tf2_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/predictors/convolutional_keras_box_predictor.py to convolutional_keras_box_predictor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/predictors/rfcn_keras_box_predictor.py to rfcn_keras_box_predictor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/predictors/rfcn_box_predictor_tf1_test.py to rfcn_box_predictor_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/protos/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/protos/string_int_label_map_pb2.py to string_int_label_map_pb2.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/protos/faster_rcnn_pb2.py to faster_rcnn_pb2.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/protos/grid_anchor_generator_pb2.py to grid_anchor_generator_pb2.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/protos/region_similarity_calculator_pb2.py to region_similarity_calculator_pb2.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/protos/keypoint_box_coder_pb2.py to keypoint_box_coder_pb2.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/protos/mean_stddev_box_coder_pb2.py to mean_stddev_box_coder_pb2.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/protos/pipeline_pb2.py to pipeline_pb2.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/protos/losses_pb2.py to losses_pb2.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/protos/optimizer_pb2.py to optimizer_pb2.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/protos/model_pb2.py to model_pb2.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/protos/box_coder_pb2.py to box_coder_pb2.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/protos/multiscale_anchor_generator_pb2.py to multiscale_anchor_generator_pb2.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/protos/hyperparams_pb2.py to hyperparams_pb2.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/protos/image_resizer_pb2.py to image_resizer_pb2.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/protos/flexible_grid_anchor_generator_pb2.py to flexible_grid_anchor_generator_pb2.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/protos/faster_rcnn_box_coder_pb2.py to faster_rcnn_box_coder_pb2.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/protos/matcher_pb2.py to matcher_pb2.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/protos/graph_rewriter_pb2.py to graph_rewriter_pb2.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/protos/square_box_coder_pb2.py to square_box_coder_pb2.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/protos/box_predictor_pb2.py to box_predictor_pb2.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/protos/preprocessor_pb2.py to preprocessor_pb2.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/protos/ssd_anchor_generator_pb2.py to ssd_anchor_generator_pb2.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/protos/post_processing_pb2.py to post_processing_pb2.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/protos/calibration_pb2.py to calibration_pb2.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/protos/ssd_pb2.py to ssd_pb2.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/protos/input_reader_pb2.py to input_reader_pb2.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/protos/train_pb2.py to train_pb2.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/protos/eval_pb2.py to eval_pb2.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/protos/argmax_matcher_pb2.py to argmax_matcher_pb2.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/protos/anchor_generator_pb2.py to anchor_generator_pb2.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/protos/bipartite_matcher_pb2.py to bipartite_matcher_pb2.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/protos/center_net_pb2.py to center_net_pb2.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/protos/target_assigner_pb2.py to target_assigner_pb2.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/keras_models/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/keras_models/hourglass_network.py to hourglass_network.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/keras_models/hourglass_network_tf2_test.py to hourglass_network_tf2_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/keras_models/resnet_v1_tf2_test.py to resnet_v1_tf2_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/keras_models/mobilenet_v2.py to mobilenet_v2.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/keras_models/mobilenet_v2_tf2_test.py to mobilenet_v2_tf2_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/keras_models/test_utils.py to test_utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/keras_models/resnet_v1.py to resnet_v1.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/keras_models/model_utils.py to model_utils.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/keras_models/mobilenet_v1_tf2_test.py to mobilenet_v1_tf2_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/keras_models/mobilenet_v1.py to mobilenet_v1.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/keras_models/convert_keras_models.py to convert_keras_models.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/keras_models/inception_resnet_v2_tf2_test.py to inception_resnet_v2_tf2_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/keras_models/inception_resnet_v2.py to inception_resnet_v2.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/bidirectional_feature_pyramid_generators.py to bidirectional_feature_pyramid_generators.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/bidirectional_feature_pyramid_generators_tf2_test.py to bidirectional_feature_pyramid_generators_tf2_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/faster_rcnn_resnet_keras_feature_extractor.py to faster_rcnn_resnet_keras_feature_extractor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/faster_rcnn_inception_v2_feature_extractor.py to faster_rcnn_inception_v2_feature_extractor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/center_net_mobilenet_v2_feature_extractor_tf2_test.py to center_net_mobilenet_v2_feature_extractor_tf2_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/center_net_hourglass_feature_extractor.py to center_net_hourglass_feature_extractor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/faster_rcnn_inception_resnet_v2_keras_feature_extractor_tf2_test.py to faster_rcnn_inception_resnet_v2_keras_feature_extractor_tf2_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/faster_rcnn_inception_resnet_v2_feature_extractor_tf1_test.py to faster_rcnn_inception_resnet_v2_feature_extractor_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/faster_rcnn_nas_feature_extractor_tf1_test.py to faster_rcnn_nas_feature_extractor_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/faster_rcnn_resnet_v1_feature_extractor.py to faster_rcnn_resnet_v1_feature_extractor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/center_net_resnet_feature_extractor.py to center_net_resnet_feature_extractor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/center_net_resnet_v1_fpn_feature_extractor_tf2_test.py to center_net_resnet_v1_fpn_feature_extractor_tf2_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/faster_rcnn_inception_resnet_v2_keras_feature_extractor.py to faster_rcnn_inception_resnet_v2_keras_feature_extractor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/center_net_mobilenet_v2_feature_extractor.py to center_net_mobilenet_v2_feature_extractor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/center_net_resnet_v1_fpn_feature_extractor.py to center_net_resnet_v1_fpn_feature_extractor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/embedded_ssd_mobilenet_v1_feature_extractor.py to embedded_ssd_mobilenet_v1_feature_extractor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/faster_rcnn_mobilenet_v1_feature_extractor_tf1_test.py to faster_rcnn_mobilenet_v1_feature_extractor_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/faster_rcnn_nas_feature_extractor.py to faster_rcnn_nas_feature_extractor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/embedded_ssd_mobilenet_v1_feature_extractor_tf1_test.py to embedded_ssd_mobilenet_v1_feature_extractor_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/faster_rcnn_inception_v2_feature_extractor_tf1_test.py to faster_rcnn_inception_v2_feature_extractor_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/faster_rcnn_pnas_feature_extractor_tf1_test.py to faster_rcnn_pnas_feature_extractor_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/center_net_hourglass_feature_extractor_tf2_test.py to center_net_hourglass_feature_extractor_tf2_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/faster_rcnn_mobilenet_v1_feature_extractor.py to faster_rcnn_mobilenet_v1_feature_extractor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/faster_rcnn_resnet_keras_feature_extractor_tf2_test.py to faster_rcnn_resnet_keras_feature_extractor_tf2_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/faster_rcnn_pnas_feature_extractor.py to faster_rcnn_pnas_feature_extractor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/center_net_resnet_feature_extractor_tf2_test.py to center_net_resnet_feature_extractor_tf2_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/faster_rcnn_inception_resnet_v2_feature_extractor.py to faster_rcnn_inception_resnet_v2_feature_extractor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/ssd_mobilenet_v1_fpn_feature_extractor_tf1_test.py to ssd_mobilenet_v1_fpn_feature_extractor_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/feature_map_generators.py to feature_map_generators.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/ssd_mobilenet_v1_feature_extractor_tf1_test.py to ssd_mobilenet_v1_feature_extractor_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/ssd_mobilenet_v1_feature_extractor.py to ssd_mobilenet_v1_feature_extractor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/feature_map_generators_test.py to feature_map_generators_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/faster_rcnn_resnet_v1_fpn_keras_feature_extractor_tf2_test.py to faster_rcnn_resnet_v1_fpn_keras_feature_extractor_tf2_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/ssd_mobiledet_feature_extractor.py to ssd_mobiledet_feature_extractor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/ssd_inception_v3_feature_extractor_tf1_test.py to ssd_inception_v3_feature_extractor_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/faster_rcnn_resnet_v1_feature_extractor_tf1_test.py to faster_rcnn_resnet_v1_feature_extractor_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/ssd_inception_v2_feature_extractor_tf1_test.py to ssd_inception_v2_feature_extractor_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/faster_rcnn_resnet_v1_fpn_keras_feature_extractor.py to faster_rcnn_resnet_v1_fpn_keras_feature_extractor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/ssd_inception_v3_feature_extractor.py to ssd_inception_v3_feature_extractor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/ssd_mobilenet_edgetpu_feature_extractor_testbase.py to ssd_mobilenet_edgetpu_feature_extractor_testbase.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/ssd_efficientnet_bifpn_feature_extractor_tf2_test.py to ssd_efficientnet_bifpn_feature_extractor_tf2_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/ssd_feature_extractor_test.py to ssd_feature_extractor_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/ssd_mobilenet_edgetpu_feature_extractor.py to ssd_mobilenet_edgetpu_feature_extractor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/ssd_mobiledet_feature_extractor_tf1_test.py to ssd_mobiledet_feature_extractor_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/ssd_mobilenet_v1_fpn_feature_extractor.py to ssd_mobilenet_v1_fpn_feature_extractor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/ssd_mobilenet_v1_feature_extractor_tf2_test.py to ssd_mobilenet_v1_feature_extractor_tf2_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/ssd_mobilenet_edgetpu_feature_extractor_tf1_test.py to ssd_mobilenet_edgetpu_feature_extractor_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/ssd_inception_v2_feature_extractor.py to ssd_inception_v2_feature_extractor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/ssd_efficientnet_bifpn_feature_extractor.py to ssd_efficientnet_bifpn_feature_extractor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/ssd_pnasnet_feature_extractor.py to ssd_pnasnet_feature_extractor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/ssd_mobilenet_v2_fpn_feature_extractor.py to ssd_mobilenet_v2_fpn_feature_extractor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/ssd_mobilenet_v2_feature_extractor_tf1_test.py to ssd_mobilenet_v2_feature_extractor_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/ssd_mobilenet_v1_fpn_feature_extractor_tf2_test.py to ssd_mobilenet_v1_fpn_feature_extractor_tf2_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/ssd_mobilenet_v3_feature_extractor_tf1_test.py to ssd_mobilenet_v3_feature_extractor_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/ssd_resnet_v1_fpn_feature_extractor.py to ssd_resnet_v1_fpn_feature_extractor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/ssd_mobilenet_v2_keras_feature_extractor.py to ssd_mobilenet_v2_keras_feature_extractor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/ssd_resnet_v1_fpn_feature_extractor_testbase.py to ssd_resnet_v1_fpn_feature_extractor_testbase.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/ssd_mobilenet_v2_feature_extractor.py to ssd_mobilenet_v2_feature_extractor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/ssd_mobilenet_v2_mnasfpn_feature_extractor_tf1_test.py to ssd_mobilenet_v2_mnasfpn_feature_extractor_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/ssd_mobilenet_v2_mnasfpn_feature_extractor.py to ssd_mobilenet_v2_mnasfpn_feature_extractor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/ssd_mobilenet_v2_fpn_keras_feature_extractor.py to ssd_mobilenet_v2_fpn_keras_feature_extractor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/ssd_mobilenet_v1_ppn_feature_extractor_tf1_test.py to ssd_mobilenet_v1_ppn_feature_extractor_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/ssd_mobilenet_v2_fpn_feature_extractor_tf1_test.py to ssd_mobilenet_v2_fpn_feature_extractor_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/ssd_pnasnet_feature_extractor_tf1_test.py to ssd_pnasnet_feature_extractor_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/ssd_mobilenet_v1_keras_feature_extractor.py to ssd_mobilenet_v1_keras_feature_extractor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/ssd_mobilenet_v1_ppn_feature_extractor.py to ssd_mobilenet_v1_ppn_feature_extractor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/ssd_mobilenet_v1_fpn_keras_feature_extractor.py to ssd_mobilenet_v1_fpn_keras_feature_extractor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/ssd_resnet_v1_fpn_feature_extractor_tf1_test.py to ssd_resnet_v1_fpn_feature_extractor_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/ssd_resnet_v1_fpn_feature_extractor_tf2_test.py to ssd_resnet_v1_fpn_feature_extractor_tf2_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/ssd_mobilenet_v3_feature_extractor.py to ssd_mobilenet_v3_feature_extractor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/ssd_mobilenet_v3_feature_extractor_testbase.py to ssd_mobilenet_v3_feature_extractor_testbase.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/ssd_mobilenet_v2_feature_extractor_tf2_test.py to ssd_mobilenet_v2_feature_extractor_tf2_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/ssd_mobilenet_v2_fpn_feature_extractor_tf2_test.py to ssd_mobilenet_v2_fpn_feature_extractor_tf2_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/ssd_resnet_v1_ppn_feature_extractor.py to ssd_resnet_v1_ppn_feature_extractor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/ssd_resnet_v1_ppn_feature_extractor_testbase.py to ssd_resnet_v1_ppn_feature_extractor_testbase.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/ssd_resnet_v1_fpn_keras_feature_extractor.py to ssd_resnet_v1_fpn_keras_feature_extractor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/models/ssd_resnet_v1_ppn_feature_extractor_tf1_test.py to ssd_resnet_v1_ppn_feature_extractor_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/matchers/argmax_matcher_test.py to argmax_matcher_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/matchers/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/matchers/bipartite_matcher_tf1_test.py to bipartite_matcher_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/matchers/argmax_matcher.py to argmax_matcher.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/matchers/bipartite_matcher.py to bipartite_matcher.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/meta_architectures/ssd_meta_arch_test_lib.py to ssd_meta_arch_test_lib.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/meta_architectures/faster_rcnn_meta_arch_test.py to faster_rcnn_meta_arch_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/meta_architectures/ssd_meta_arch_test.py to ssd_meta_arch_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/meta_architectures/center_net_meta_arch.py to center_net_meta_arch.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/meta_architectures/faster_rcnn_meta_arch.py to faster_rcnn_meta_arch.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/meta_architectures/context_rcnn_lib_tf1_test.py to context_rcnn_lib_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/meta_architectures/context_rcnn_meta_arch_tf1_test.py to context_rcnn_meta_arch_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/meta_architectures/ssd_meta_arch.py to ssd_meta_arch.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/meta_architectures/context_rcnn_meta_arch.py to context_rcnn_meta_arch.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/meta_architectures/rfcn_meta_arch_test.py to rfcn_meta_arch_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/meta_architectures/rfcn_meta_arch.py to rfcn_meta_arch.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/meta_architectures/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/meta_architectures/faster_rcnn_meta_arch_test_lib.py to faster_rcnn_meta_arch_test_lib.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/meta_architectures/context_rcnn_lib.py to context_rcnn_lib.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/meta_architectures/center_net_meta_arch_tf2_test.py to center_net_meta_arch_tf2_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/legacy/eval.py to eval.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/legacy/evaluator.py to evaluator.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/legacy/trainer.py to trainer.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/legacy/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/legacy/trainer_tf1_test.py to trainer_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/legacy/train.py to train.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/inference/detection_inference_tf1_test.py to detection_inference_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/inference/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/inference/detection_inference.py to detection_inference.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/inference/infer_detections.py to infer_detections.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/data_decoders/tf_sequence_example_decoder.py to tf_sequence_example_decoder.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/data_decoders/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/data_decoders/tf_example_decoder.py to tf_example_decoder.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/data_decoders/tf_example_decoder_test.py to tf_example_decoder_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/data_decoders/tf_sequence_example_decoder_test.py to tf_sequence_example_decoder_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/core/box_list_test.py to box_list_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/core/anchor_generator.py to anchor_generator.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/core/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/core/balanced_positive_negative_sampler_test.py to balanced_positive_negative_sampler_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/core/box_coder_test.py to box_coder_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/core/batch_multiclass_nms_test.py to batch_multiclass_nms_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/core/batcher_tf1_test.py to batcher_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/core/box_list_ops.py to box_list_ops.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/core/batcher.py to batcher.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/core/box_list.py to box_list.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/core/balanced_positive_negative_sampler.py to balanced_positive_negative_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/core/box_list_ops_test.py to box_list_ops_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/core/box_coder.py to box_coder.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/core/region_similarity_calculator.py to region_similarity_calculator.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/core/model.py to model.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/core/keypoint_ops.py to keypoint_ops.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/core/preprocessor.py to preprocessor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/core/losses.py to losses.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/core/matcher.py to matcher.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/core/keypoint_ops_test.py to keypoint_ops_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/core/data_parser.py to data_parser.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/core/densepose_ops.py to densepose_ops.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/core/model_test.py to model_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/core/freezable_batch_norm_tf2_test.py to freezable_batch_norm_tf2_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/core/preprocessor_test.py to preprocessor_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/core/data_decoder.py to data_decoder.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/core/box_predictor.py to box_predictor.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/core/densepose_ops_test.py to densepose_ops_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/core/region_similarity_calculator_test.py to region_similarity_calculator_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/core/minibatch_sampler_test.py to minibatch_sampler_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/core/minibatch_sampler.py to minibatch_sampler.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/core/matcher_test.py to matcher_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/core/multiclass_nms_test.py to multiclass_nms_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/core/post_processing.py to post_processing.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/core/freezable_batch_norm.py to freezable_batch_norm.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/core/prefetcher.py to prefetcher.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/core/preprocessor_cache.py to preprocessor_cache.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/core/prefetcher_tf1_test.py to prefetcher_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/core/losses_test.py to losses_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/core/class_agnostic_nms_test.py to class_agnostic_nms_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/core/standard_fields.py to standard_fields.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/core/target_assigner.py to target_assigner.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/core/target_assigner_test.py to target_assigner_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/dataset_tools/create_coco_tf_record.py to create_coco_tf_record.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/dataset_tools/create_kitti_tf_record_test.py to create_kitti_tf_record_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/dataset_tools/create_coco_tf_record_test.py to create_coco_tf_record_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/dataset_tools/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/dataset_tools/create_kitti_tf_record.py to create_kitti_tf_record.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/dataset_tools/oid_tfrecord_creation.py to oid_tfrecord_creation.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/dataset_tools/create_pascal_tf_record_test.py to create_pascal_tf_record_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/dataset_tools/tf_record_creation_util_test.py to tf_record_creation_util_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/dataset_tools/seq_example_util.py to seq_example_util.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/dataset_tools/oid_hierarchical_labels_expansion_test.py to oid_hierarchical_labels_expansion_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/dataset_tools/tf_record_creation_util.py to tf_record_creation_util.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/dataset_tools/oid_hierarchical_labels_expansion.py to oid_hierarchical_labels_expansion.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/dataset_tools/create_pascal_tf_record.py to create_pascal_tf_record.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/dataset_tools/create_oid_tf_record.py to create_oid_tf_record.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/dataset_tools/create_pet_tf_record.py to create_pet_tf_record.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/dataset_tools/seq_example_util_test.py to seq_example_util_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/dataset_tools/oid_tfrecord_creation_test.py to oid_tfrecord_creation_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/anchor_generators/flexible_grid_anchor_generator.py to flexible_grid_anchor_generator.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/anchor_generators/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/anchor_generators/grid_anchor_generator.py to grid_anchor_generator.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/anchor_generators/multiple_grid_anchor_generator_test.py to multiple_grid_anchor_generator_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/anchor_generators/multiscale_grid_anchor_generator_test.py to multiscale_grid_anchor_generator_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/anchor_generators/multiple_grid_anchor_generator.py to multiple_grid_anchor_generator.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/anchor_generators/grid_anchor_generator_test.py to grid_anchor_generator_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/anchor_generators/multiscale_grid_anchor_generator.py to multiscale_grid_anchor_generator.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/anchor_generators/flexible_grid_anchor_generator_test.py to flexible_grid_anchor_generator_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/box_coders/faster_rcnn_box_coder_test.py to faster_rcnn_box_coder_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/box_coders/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/box_coders/square_box_coder.py to square_box_coder.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/box_coders/keypoint_box_coder_test.py to keypoint_box_coder_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/box_coders/square_box_coder_test.py to square_box_coder_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/box_coders/mean_stddev_box_coder_test.py to mean_stddev_box_coder_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/box_coders/faster_rcnn_box_coder.py to faster_rcnn_box_coder.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/box_coders/keypoint_box_coder.py to keypoint_box_coder.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/box_coders/mean_stddev_box_coder.py to mean_stddev_box_coder.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/builders/box_predictor_builder_test.py to box_predictor_builder_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/builders/anchor_generator_builder_test.py to anchor_generator_builder_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/builders/box_coder_builder_test.py to box_coder_builder_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/builders/calibration_builder.py to calibration_builder.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/builders/dataset_builder.py to dataset_builder.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/builders/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/builders/calibration_builder_test.py to calibration_builder_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/builders/anchor_generator_builder.py to anchor_generator_builder.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/builders/box_coder_builder.py to box_coder_builder.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/builders/box_predictor_builder.py to box_predictor_builder.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/builders/decoder_builder_test.py to decoder_builder_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/builders/image_resizer_builder_test.py to image_resizer_builder_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/builders/post_processing_builder.py to post_processing_builder.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/builders/optimizer_builder.py to optimizer_builder.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/builders/model_builder_tf1_test.py to model_builder_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/builders/input_reader_builder.py to input_reader_builder.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/builders/model_builder.py to model_builder.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/builders/graph_rewriter_builder.py to graph_rewriter_builder.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/builders/post_processing_builder_test.py to post_processing_builder_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/builders/dataset_builder_test.py to dataset_builder_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/builders/graph_rewriter_builder_tf1_test.py to graph_rewriter_builder_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/builders/optimizer_builder_tf2_test.py to optimizer_builder_tf2_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/builders/image_resizer_builder.py to image_resizer_builder.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/builders/model_builder_tf2_test.py to model_builder_tf2_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/builders/optimizer_builder_tf1_test.py to optimizer_builder_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/builders/input_reader_builder_tf1_test.py to input_reader_builder_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/builders/decoder_builder.py to decoder_builder.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/builders/losses_builder_test.py to losses_builder_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/builders/losses_builder.py to losses_builder.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/builders/matcher_builder_test.py to matcher_builder_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/builders/hyperparams_builder_test.py to hyperparams_builder_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/builders/matcher_builder.py to matcher_builder.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/builders/hyperparams_builder.py to hyperparams_builder.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/builders/preprocessor_builder.py to preprocessor_builder.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/builders/model_builder_test.py to model_builder_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/builders/preprocessor_builder_test.py to preprocessor_builder_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/builders/target_assigner_builder.py to target_assigner_builder.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/builders/region_similarity_calculator_builder.py to region_similarity_calculator_builder.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/builders/region_similarity_calculator_builder_test.py to region_similarity_calculator_builder_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/builders/target_assigner_builder_test.py to target_assigner_builder_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/eval_util_test.py to eval_util_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/__init__.py to __init__.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/eval_util.py to eval_util.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/model_lib.py to model_lib.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/model_tpu_main.py to model_tpu_main.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/model_main_tf2.py to model_main_tf2.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/exporter.py to exporter.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/export_tflite_ssd_graph_lib.py to export_tflite_ssd_graph_lib.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/exporter_main_v2.py to exporter_main_v2.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/model_hparams.py to model_hparams.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/export_tflite_ssd_graph.py to export_tflite_ssd_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/export_inference_graph.py to export_inference_graph.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/inputs_test.py to inputs_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/inputs.py to inputs.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/model_main.py to model_main.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/export_tflite_ssd_graph_lib_tf1_test.py to export_tflite_ssd_graph_lib_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/exporter_lib_tf2_test.py to exporter_lib_tf2_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/model_lib_v2.py to model_lib_v2.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/model_lib_tf2_test.py to model_lib_tf2_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/model_lib_tf1_test.py to model_lib_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/exporter_lib_v2.py to exporter_lib_v2.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/exporter_tf1_test.py to exporter_tf1_test.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/Object_detection_image.py to Object_detection_image.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/Object_detection_webcam.py to Object_detection_webcam.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/sizeChecker.py to sizeChecker.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/resizer.py to resizer.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/Object_detection_video.py to Object_detection_video.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/xml_to_csv.py to xml_to_csv.cpython-36.pyc byte-compiling build/bdist.linux-x86_64/egg/object_detection/generate_tfrecord.py to generate_tfrecord.cpython-36.pyc creating build/bdist.linux-x86_64/egg/EGG-INFO copying object_detection.egg-info/PKG-INFO -> build/bdist.linux-x86_64/egg/EGG-INFO copying object_detection.egg-info/SOURCES.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying object_detection.egg-info/dependency_links.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying object_detection.egg-info/requires.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying object_detection.egg-info/top_level.txt -> build/bdist.linux-x86_64/egg/EGG-INFO zip_safe flag not set; analyzing archive contents... object_detection.core.__pycache__.densepose_ops.cpython-36: module references __file__ object_detection.core.__pycache__.preprocessor.cpython-36: module MAY be using inspect.stack object_detection.utils.__pycache__.autoaugment_utils.cpython-36: module MAY be using inspect.stack creating 'dist/object_detection-0.1-py3.6.egg' and adding 'build/bdist.linux-x86_64/egg' to it removing 'build/bdist.linux-x86_64/egg' (and everything under it) Processing object_detection-0.1-py3.6.egg creating /usr/local/lib/python3.6/dist-packages/object_detection-0.1-py3.6.egg Extracting object_detection-0.1-py3.6.egg to /usr/local/lib/python3.6/dist-packages Adding object-detection 0.1 to easy-install.pth file Installed /usr/local/lib/python3.6/dist-packages/object_detection-0.1-py3.6.egg Processing dependencies for object-detection==0.1 Searching for Cython==0.29.21 Best match: Cython 0.29.21 Adding Cython 0.29.21 to easy-install.pth file Installing cygdb script to /usr/local/bin Installing cython script to /usr/local/bin Installing cythonize script to /usr/local/bin Using /usr/local/lib/python3.6/dist-packages Searching for matplotlib==3.2.2 Best match: matplotlib 3.2.2 Adding matplotlib 3.2.2 to easy-install.pth file Using /usr/local/lib/python3.6/dist-packages Searching for Pillow==7.0.0 Best match: Pillow 7.0.0 Adding Pillow 7.0.0 to easy-install.pth file Using /usr/local/lib/python3.6/dist-packages Searching for pyparsing==2.4.7 Best match: pyparsing 2.4.7 Adding pyparsing 2.4.7 to easy-install.pth file Using /usr/local/lib/python3.6/dist-packages Searching for numpy==1.18.5 Best match: numpy 1.18.5 Adding numpy 1.18.5 to easy-install.pth file Installing f2py script to /usr/local/bin Installing f2py3 script to /usr/local/bin Installing f2py3.6 script to /usr/local/bin Using /usr/local/lib/python3.6/dist-packages Searching for python-dateutil==2.8.1 Best match: python-dateutil 2.8.1 Adding python-dateutil 2.8.1 to easy-install.pth file Using /usr/local/lib/python3.6/dist-packages Searching for cycler==0.10.0 Best match: cycler 0.10.0 Adding cycler 0.10.0 to easy-install.pth file Using /usr/local/lib/python3.6/dist-packages Searching for kiwisolver==1.2.0 Best match: kiwisolver 1.2.0 Adding kiwisolver 1.2.0 to easy-install.pth file Using /usr/local/lib/python3.6/dist-packages Searching for six==1.15.0 Best match: six 1.15.0 Adding six 1.15.0 to easy-install.pth file Using /usr/local/lib/python3.6/dist-packages Finished processing dependencies for object-detection==0.1
In [ ]:
# This is to check how much session time is left
import time, psutil
Start = time.time()- psutil.boot_time()
Left= 12*3600 - Start
print('Time remaining for this session is: ', Left/3600)
Time remaining for this session is: 11.867892458041508
To Check whether all we need for training has been installed¶
In [8]:
!pip install tf_slim
Collecting tf_slim
Downloading https://files.pythonhosted.org/packages/02/97/b0f4a64df018ca018cc035d44f2ef08f91e2e8aa67271f6f19633a015ff7/tf_slim-1.1.0-py2.py3-none-any.whl (352kB)
|████████████████████████████████| 358kB 4.7MB/s
Requirement already satisfied: absl-py>=0.2.2 in /usr/local/lib/python3.6/dist-packages (from tf_slim) (0.9.0)
Requirement already satisfied: six in /usr/local/lib/python3.6/dist-packages (from absl-py>=0.2.2->tf_slim) (1.15.0)
Installing collected packages: tf-slim
Successfully installed tf-slim-1.1.0
In [9]:
%cd /content/gdrive/My Drive/Car_And_Number_Plate/models/research/object_detection/builders/
!python model_builder_test.py
/content/gdrive/My Drive/Car_And_Number_Plate/models/research/object_detection/builders
In [10]:
%cd /content/gdrive/My Drive/Car_And_Number_Plate/models/research/object_detection/
/content/gdrive/My Drive/Car_And_Number_Plate/models/research/object_detection
In [ ]:
# Skipped as I have the csv files
import os
import glob
import pandas as pd
import xml.etree.ElementTree as ET
def xml_to_csv(path):
xml_list = []
for xml_file in glob.glob(path + '/*.xml'):
tree = ET.parse(xml_file)
root = tree.getroot()
for member in root.findall('object'):
value = (root.find('filename').text,
int(root.find('size')[0].text),
int(root.find('size')[1].text),
member[0].text,
int(member[4][0].text),
int(member[4][1].text),
int(member[4][2].text),
int(member[4][3].text)
)
xml_list.append(value)
column_name = ['filename', 'width', 'height', 'class', 'xmin', 'ymin', 'xmax', 'ymax']
xml_df = pd.DataFrame(xml_list, columns=column_name)
return xml_df
def main(directory_list):
for Image_cat in directory_list:
image_path = os.path.join(os.getcwd(), 'images/{}'.format(Image_cat))
xml_df = xml_to_csv(image_path)
xml_df.to_csv('data/{}_labels.csv'.format(Image_cat), index=None)
print('Successfully converted xml to csv.')
main(['train','test'])
In [ ]:
!pwd
/content/gdrive/My Drive/Car_And_Number_Plate/models/research/object_detection
Generating Tf record¶
- Generating two TFRecords files for the training and testing CSVs.
- Tensorflow accepts the data as tfrecords which is a binary file that run fast with low memory usage. Instead of loading the full data into memory, Tenorflow breaks the data into batches using these TFRecords automatically
In [ ]:
!python generate_tfrecord.py --csv_input=images/train_labels.csv --image_dir=images/train --output_path=train.record
!python generate_tfrecord.py --csv_input=images/test_labels.csv --image_dir=images/test --output_path=test.record
Successfully created the TFRecords: /content/gdrive/My Drive/Car_And_Number_Plate/models/research/object_detection/train.record Successfully created the TFRecords: /content/gdrive/My Drive/Car_And_Number_Plate/models/research/object_detection/test.record
To background track your training checkpoints, open tensorboard¶
In [ ]:
#%load_ext tensorboard
%reload_ext tensorboard
%tensorboard --logdir training/
Reusing TensorBoard on port 6006 (pid 610), started 0:03:48 ago. (Use '!kill 610' to kill it.)
Train the model¶
In [ ]:
!python train.py --logtostderr --train_dir=training/ --pipeline_config_path=training/faster_rcnn_inception_v2_pets.config
Streaming output truncated to the last 5000 lines.
I0724 06:05:49.103047 140531649939328 learning.py:512] global step 112850: loss = 0.0224 (0.160 sec/step)
INFO:tensorflow:global step 112851: loss = 0.0274 (0.166 sec/step)
I0724 06:05:49.270700 140531649939328 learning.py:512] global step 112851: loss = 0.0274 (0.166 sec/step)
INFO:tensorflow:global step 112852: loss = 0.0662 (0.164 sec/step)
I0724 06:05:49.436470 140531649939328 learning.py:512] global step 112852: loss = 0.0662 (0.164 sec/step)
INFO:tensorflow:global step 112853: loss = 0.0090 (0.167 sec/step)
I0724 06:05:49.605223 140531649939328 learning.py:512] global step 112853: loss = 0.0090 (0.167 sec/step)
INFO:tensorflow:global step 112854: loss = 0.0182 (0.152 sec/step)
I0724 06:05:49.758325 140531649939328 learning.py:512] global step 112854: loss = 0.0182 (0.152 sec/step)
INFO:tensorflow:global step 112855: loss = 0.0142 (0.169 sec/step)
I0724 06:05:49.928897 140531649939328 learning.py:512] global step 112855: loss = 0.0142 (0.169 sec/step)
INFO:tensorflow:global step 112856: loss = 0.0902 (0.173 sec/step)
I0724 06:05:50.103356 140531649939328 learning.py:512] global step 112856: loss = 0.0902 (0.173 sec/step)
INFO:tensorflow:global step 112857: loss = 0.0010 (0.174 sec/step)
I0724 06:05:50.279189 140531649939328 learning.py:512] global step 112857: loss = 0.0010 (0.174 sec/step)
INFO:tensorflow:global step 112858: loss = 0.0289 (0.165 sec/step)
I0724 06:05:50.445868 140531649939328 learning.py:512] global step 112858: loss = 0.0289 (0.165 sec/step)
INFO:tensorflow:global step 112859: loss = 0.0343 (0.165 sec/step)
I0724 06:05:50.612100 140531649939328 learning.py:512] global step 112859: loss = 0.0343 (0.165 sec/step)
INFO:tensorflow:global step 112860: loss = 0.0117 (0.231 sec/step)
I0724 06:05:50.845070 140531649939328 learning.py:512] global step 112860: loss = 0.0117 (0.231 sec/step)
INFO:tensorflow:global step 112861: loss = 0.0231 (0.276 sec/step)
I0724 06:05:51.123049 140531649939328 learning.py:512] global step 112861: loss = 0.0231 (0.276 sec/step)
INFO:tensorflow:global step 112862: loss = 0.0795 (0.177 sec/step)
I0724 06:05:51.302109 140531649939328 learning.py:512] global step 112862: loss = 0.0795 (0.177 sec/step)
INFO:tensorflow:global step 112863: loss = 0.0156 (0.218 sec/step)
I0724 06:05:51.521985 140531649939328 learning.py:512] global step 112863: loss = 0.0156 (0.218 sec/step)
INFO:tensorflow:global step 112864: loss = 0.0157 (0.165 sec/step)
I0724 06:05:51.688280 140531649939328 learning.py:512] global step 112864: loss = 0.0157 (0.165 sec/step)
INFO:tensorflow:global step 112865: loss = 0.0634 (0.169 sec/step)
I0724 06:05:51.858875 140531649939328 learning.py:512] global step 112865: loss = 0.0634 (0.169 sec/step)
INFO:tensorflow:global step 112866: loss = 0.0341 (0.151 sec/step)
I0724 06:05:52.011619 140531649939328 learning.py:512] global step 112866: loss = 0.0341 (0.151 sec/step)
INFO:tensorflow:global step 112867: loss = 0.0481 (0.158 sec/step)
I0724 06:05:52.171827 140531649939328 learning.py:512] global step 112867: loss = 0.0481 (0.158 sec/step)
INFO:tensorflow:global step 112868: loss = 0.0233 (0.151 sec/step)
I0724 06:05:52.324687 140531649939328 learning.py:512] global step 112868: loss = 0.0233 (0.151 sec/step)
INFO:tensorflow:global step 112869: loss = 0.0192 (0.180 sec/step)
I0724 06:05:52.506215 140531649939328 learning.py:512] global step 112869: loss = 0.0192 (0.180 sec/step)
INFO:tensorflow:global step 112870: loss = 0.0045 (0.148 sec/step)
I0724 06:05:52.655541 140531649939328 learning.py:512] global step 112870: loss = 0.0045 (0.148 sec/step)
INFO:tensorflow:global step 112871: loss = 0.0054 (0.195 sec/step)
I0724 06:05:52.853372 140531649939328 learning.py:512] global step 112871: loss = 0.0054 (0.195 sec/step)
INFO:tensorflow:global step 112872: loss = 0.0290 (0.157 sec/step)
I0724 06:05:53.011807 140531649939328 learning.py:512] global step 112872: loss = 0.0290 (0.157 sec/step)
INFO:tensorflow:global step 112873: loss = 0.1715 (0.165 sec/step)
I0724 06:05:53.178484 140531649939328 learning.py:512] global step 112873: loss = 0.1715 (0.165 sec/step)
INFO:tensorflow:global step 112874: loss = 0.0090 (0.157 sec/step)
I0724 06:05:53.337547 140531649939328 learning.py:512] global step 112874: loss = 0.0090 (0.157 sec/step)
INFO:tensorflow:global step 112875: loss = 0.0571 (0.163 sec/step)
I0724 06:05:53.501878 140531649939328 learning.py:512] global step 112875: loss = 0.0571 (0.163 sec/step)
INFO:tensorflow:global step 112876: loss = 0.0258 (0.169 sec/step)
I0724 06:05:53.671989 140531649939328 learning.py:512] global step 112876: loss = 0.0258 (0.169 sec/step)
INFO:tensorflow:global step 112877: loss = 0.0149 (0.168 sec/step)
I0724 06:05:53.842011 140531649939328 learning.py:512] global step 112877: loss = 0.0149 (0.168 sec/step)
INFO:tensorflow:global step 112878: loss = 0.0100 (0.177 sec/step)
I0724 06:05:54.020410 140531649939328 learning.py:512] global step 112878: loss = 0.0100 (0.177 sec/step)
INFO:tensorflow:global step 112879: loss = 0.0354 (0.165 sec/step)
I0724 06:05:54.186657 140531649939328 learning.py:512] global step 112879: loss = 0.0354 (0.165 sec/step)
INFO:tensorflow:global step 112880: loss = 0.0338 (0.161 sec/step)
I0724 06:05:54.349026 140531649939328 learning.py:512] global step 112880: loss = 0.0338 (0.161 sec/step)
INFO:tensorflow:global step 112881: loss = 0.0048 (0.148 sec/step)
I0724 06:05:54.498378 140531649939328 learning.py:512] global step 112881: loss = 0.0048 (0.148 sec/step)
INFO:tensorflow:global step 112882: loss = 0.0402 (0.163 sec/step)
I0724 06:05:54.662793 140531649939328 learning.py:512] global step 112882: loss = 0.0402 (0.163 sec/step)
INFO:tensorflow:global step 112883: loss = 0.0251 (0.154 sec/step)
I0724 06:05:54.818668 140531649939328 learning.py:512] global step 112883: loss = 0.0251 (0.154 sec/step)
INFO:tensorflow:global step 112884: loss = 0.0375 (0.168 sec/step)
I0724 06:05:54.988240 140531649939328 learning.py:512] global step 112884: loss = 0.0375 (0.168 sec/step)
INFO:tensorflow:global step 112885: loss = 0.0301 (0.156 sec/step)
I0724 06:05:55.145229 140531649939328 learning.py:512] global step 112885: loss = 0.0301 (0.156 sec/step)
INFO:tensorflow:global step 112886: loss = 0.0445 (0.158 sec/step)
I0724 06:05:55.304769 140531649939328 learning.py:512] global step 112886: loss = 0.0445 (0.158 sec/step)
INFO:tensorflow:global step 112887: loss = 0.0286 (0.162 sec/step)
I0724 06:05:55.468767 140531649939328 learning.py:512] global step 112887: loss = 0.0286 (0.162 sec/step)
INFO:tensorflow:global step 112888: loss = 0.0391 (0.157 sec/step)
I0724 06:05:55.627946 140531649939328 learning.py:512] global step 112888: loss = 0.0391 (0.157 sec/step)
INFO:tensorflow:global step 112889: loss = 0.0181 (0.159 sec/step)
I0724 06:05:55.788025 140531649939328 learning.py:512] global step 112889: loss = 0.0181 (0.159 sec/step)
INFO:tensorflow:global step 112890: loss = 0.0174 (0.163 sec/step)
I0724 06:05:55.952759 140531649939328 learning.py:512] global step 112890: loss = 0.0174 (0.163 sec/step)
INFO:tensorflow:global step 112891: loss = 0.0077 (0.162 sec/step)
I0724 06:05:56.116713 140531649939328 learning.py:512] global step 112891: loss = 0.0077 (0.162 sec/step)
INFO:tensorflow:global step 112892: loss = 0.0069 (0.172 sec/step)
I0724 06:05:56.290574 140531649939328 learning.py:512] global step 112892: loss = 0.0069 (0.172 sec/step)
INFO:tensorflow:global step 112893: loss = 0.0193 (0.151 sec/step)
I0724 06:05:56.443277 140531649939328 learning.py:512] global step 112893: loss = 0.0193 (0.151 sec/step)
INFO:tensorflow:global step 112894: loss = 0.0204 (0.170 sec/step)
I0724 06:05:56.614369 140531649939328 learning.py:512] global step 112894: loss = 0.0204 (0.170 sec/step)
INFO:tensorflow:global step 112895: loss = 0.0410 (0.165 sec/step)
I0724 06:05:56.780434 140531649939328 learning.py:512] global step 112895: loss = 0.0410 (0.165 sec/step)
INFO:tensorflow:global step 112896: loss = 0.0740 (0.159 sec/step)
I0724 06:05:56.941210 140531649939328 learning.py:512] global step 112896: loss = 0.0740 (0.159 sec/step)
INFO:tensorflow:global step 112897: loss = 0.0066 (0.169 sec/step)
I0724 06:05:57.111477 140531649939328 learning.py:512] global step 112897: loss = 0.0066 (0.169 sec/step)
INFO:tensorflow:global step 112898: loss = 0.0264 (0.158 sec/step)
I0724 06:05:57.270734 140531649939328 learning.py:512] global step 112898: loss = 0.0264 (0.158 sec/step)
INFO:tensorflow:global step 112899: loss = 0.0690 (0.162 sec/step)
I0724 06:05:57.434562 140531649939328 learning.py:512] global step 112899: loss = 0.0690 (0.162 sec/step)
INFO:tensorflow:global step 112900: loss = 0.0349 (0.165 sec/step)
I0724 06:05:57.600625 140531649939328 learning.py:512] global step 112900: loss = 0.0349 (0.165 sec/step)
INFO:tensorflow:global step 112901: loss = 0.0204 (0.167 sec/step)
I0724 06:05:57.769092 140531649939328 learning.py:512] global step 112901: loss = 0.0204 (0.167 sec/step)
INFO:tensorflow:global step 112902: loss = 0.0215 (0.167 sec/step)
I0724 06:05:57.937292 140531649939328 learning.py:512] global step 112902: loss = 0.0215 (0.167 sec/step)
INFO:tensorflow:global step 112903: loss = 0.0119 (0.152 sec/step)
I0724 06:05:58.091168 140531649939328 learning.py:512] global step 112903: loss = 0.0119 (0.152 sec/step)
INFO:tensorflow:global step 112904: loss = 0.0462 (0.168 sec/step)
I0724 06:05:58.260760 140531649939328 learning.py:512] global step 112904: loss = 0.0462 (0.168 sec/step)
INFO:tensorflow:global step 112905: loss = 0.0125 (0.167 sec/step)
I0724 06:05:58.429077 140531649939328 learning.py:512] global step 112905: loss = 0.0125 (0.167 sec/step)
INFO:tensorflow:global step 112906: loss = 0.0085 (0.169 sec/step)
I0724 06:05:58.599622 140531649939328 learning.py:512] global step 112906: loss = 0.0085 (0.169 sec/step)
INFO:tensorflow:global step 112907: loss = 0.0083 (0.168 sec/step)
I0724 06:05:58.768682 140531649939328 learning.py:512] global step 112907: loss = 0.0083 (0.168 sec/step)
INFO:tensorflow:global step 112908: loss = 0.0230 (0.153 sec/step)
I0724 06:05:58.923404 140531649939328 learning.py:512] global step 112908: loss = 0.0230 (0.153 sec/step)
INFO:tensorflow:global step 112909: loss = 0.0227 (0.163 sec/step)
I0724 06:05:59.087283 140531649939328 learning.py:512] global step 112909: loss = 0.0227 (0.163 sec/step)
INFO:tensorflow:global step 112910: loss = 0.0264 (0.187 sec/step)
I0724 06:05:59.275817 140531649939328 learning.py:512] global step 112910: loss = 0.0264 (0.187 sec/step)
INFO:tensorflow:global step 112911: loss = 0.0366 (0.181 sec/step)
I0724 06:05:59.459103 140531649939328 learning.py:512] global step 112911: loss = 0.0366 (0.181 sec/step)
INFO:tensorflow:global step 112912: loss = 0.0162 (0.170 sec/step)
I0724 06:05:59.630556 140531649939328 learning.py:512] global step 112912: loss = 0.0162 (0.170 sec/step)
INFO:tensorflow:global step 112913: loss = 0.0068 (0.152 sec/step)
I0724 06:05:59.784136 140531649939328 learning.py:512] global step 112913: loss = 0.0068 (0.152 sec/step)
INFO:tensorflow:global step 112914: loss = 0.1211 (0.157 sec/step)
I0724 06:05:59.942572 140531649939328 learning.py:512] global step 112914: loss = 0.1211 (0.157 sec/step)
INFO:tensorflow:global step 112915: loss = 0.0533 (0.164 sec/step)
I0724 06:06:00.107660 140531649939328 learning.py:512] global step 112915: loss = 0.0533 (0.164 sec/step)
INFO:tensorflow:global step 112916: loss = 0.0436 (0.154 sec/step)
I0724 06:06:00.263098 140531649939328 learning.py:512] global step 112916: loss = 0.0436 (0.154 sec/step)
INFO:tensorflow:global step 112917: loss = 0.0032 (0.153 sec/step)
I0724 06:06:00.417881 140531649939328 learning.py:512] global step 112917: loss = 0.0032 (0.153 sec/step)
INFO:tensorflow:global step 112918: loss = 0.0203 (0.170 sec/step)
I0724 06:06:00.589278 140531649939328 learning.py:512] global step 112918: loss = 0.0203 (0.170 sec/step)
INFO:tensorflow:global step 112919: loss = 0.0040 (0.159 sec/step)
I0724 06:06:00.750219 140531649939328 learning.py:512] global step 112919: loss = 0.0040 (0.159 sec/step)
INFO:tensorflow:global step 112920: loss = 0.0653 (0.179 sec/step)
I0724 06:06:00.931002 140531649939328 learning.py:512] global step 112920: loss = 0.0653 (0.179 sec/step)
INFO:tensorflow:global step 112921: loss = 0.0425 (0.153 sec/step)
I0724 06:06:01.084908 140531649939328 learning.py:512] global step 112921: loss = 0.0425 (0.153 sec/step)
INFO:tensorflow:global step 112922: loss = 0.0316 (0.174 sec/step)
I0724 06:06:01.260026 140531649939328 learning.py:512] global step 112922: loss = 0.0316 (0.174 sec/step)
INFO:tensorflow:global step 112923: loss = 0.0261 (0.171 sec/step)
I0724 06:06:01.432489 140531649939328 learning.py:512] global step 112923: loss = 0.0261 (0.171 sec/step)
INFO:tensorflow:global step 112924: loss = 0.0029 (0.151 sec/step)
I0724 06:06:01.585391 140531649939328 learning.py:512] global step 112924: loss = 0.0029 (0.151 sec/step)
INFO:tensorflow:global step 112925: loss = 0.0134 (0.161 sec/step)
I0724 06:06:01.747352 140531649939328 learning.py:512] global step 112925: loss = 0.0134 (0.161 sec/step)
INFO:tensorflow:global step 112926: loss = 0.0209 (0.149 sec/step)
I0724 06:06:01.897342 140531649939328 learning.py:512] global step 112926: loss = 0.0209 (0.149 sec/step)
INFO:tensorflow:global step 112927: loss = 0.0152 (0.171 sec/step)
I0724 06:06:02.069893 140531649939328 learning.py:512] global step 112927: loss = 0.0152 (0.171 sec/step)
INFO:tensorflow:global step 112928: loss = 0.0322 (0.162 sec/step)
I0724 06:06:02.233056 140531649939328 learning.py:512] global step 112928: loss = 0.0322 (0.162 sec/step)
INFO:tensorflow:global step 112929: loss = 0.0309 (0.162 sec/step)
I0724 06:06:02.397180 140531649939328 learning.py:512] global step 112929: loss = 0.0309 (0.162 sec/step)
INFO:tensorflow:global step 112930: loss = 0.0125 (0.156 sec/step)
I0724 06:06:02.556026 140531649939328 learning.py:512] global step 112930: loss = 0.0125 (0.156 sec/step)
INFO:tensorflow:global step 112931: loss = 0.0154 (0.171 sec/step)
I0724 06:06:02.728592 140531649939328 learning.py:512] global step 112931: loss = 0.0154 (0.171 sec/step)
INFO:tensorflow:global step 112932: loss = 0.0045 (0.164 sec/step)
I0724 06:06:02.894434 140531649939328 learning.py:512] global step 112932: loss = 0.0045 (0.164 sec/step)
INFO:tensorflow:global step 112933: loss = 0.0128 (0.154 sec/step)
I0724 06:06:03.050183 140531649939328 learning.py:512] global step 112933: loss = 0.0128 (0.154 sec/step)
INFO:tensorflow:global step 112934: loss = 0.0208 (0.171 sec/step)
I0724 06:06:03.222774 140531649939328 learning.py:512] global step 112934: loss = 0.0208 (0.171 sec/step)
INFO:tensorflow:global step 112935: loss = 0.0466 (0.178 sec/step)
I0724 06:06:03.401806 140531649939328 learning.py:512] global step 112935: loss = 0.0466 (0.178 sec/step)
INFO:tensorflow:global step 112936: loss = 0.0358 (0.176 sec/step)
I0724 06:06:03.579340 140531649939328 learning.py:512] global step 112936: loss = 0.0358 (0.176 sec/step)
INFO:tensorflow:global step 112937: loss = 0.1319 (0.165 sec/step)
I0724 06:06:03.745822 140531649939328 learning.py:512] global step 112937: loss = 0.1319 (0.165 sec/step)
INFO:tensorflow:global step 112938: loss = 0.0069 (0.150 sec/step)
I0724 06:06:03.896893 140531649939328 learning.py:512] global step 112938: loss = 0.0069 (0.150 sec/step)
INFO:tensorflow:global step 112939: loss = 0.0309 (0.153 sec/step)
I0724 06:06:04.051429 140531649939328 learning.py:512] global step 112939: loss = 0.0309 (0.153 sec/step)
INFO:tensorflow:global step 112940: loss = 0.0143 (0.162 sec/step)
I0724 06:06:04.214682 140531649939328 learning.py:512] global step 112940: loss = 0.0143 (0.162 sec/step)
INFO:tensorflow:global step 112941: loss = 0.0229 (0.157 sec/step)
I0724 06:06:04.372804 140531649939328 learning.py:512] global step 112941: loss = 0.0229 (0.157 sec/step)
INFO:tensorflow:global step 112942: loss = 0.0938 (0.169 sec/step)
I0724 06:06:04.543225 140531649939328 learning.py:512] global step 112942: loss = 0.0938 (0.169 sec/step)
INFO:tensorflow:global step 112943: loss = 0.0286 (0.148 sec/step)
I0724 06:06:04.693098 140531649939328 learning.py:512] global step 112943: loss = 0.0286 (0.148 sec/step)
INFO:tensorflow:global step 112944: loss = 0.0065 (0.150 sec/step)
I0724 06:06:04.843930 140531649939328 learning.py:512] global step 112944: loss = 0.0065 (0.150 sec/step)
INFO:tensorflow:global step 112945: loss = 0.0243 (0.162 sec/step)
I0724 06:06:05.007140 140531649939328 learning.py:512] global step 112945: loss = 0.0243 (0.162 sec/step)
INFO:tensorflow:global step 112946: loss = 0.0068 (0.152 sec/step)
I0724 06:06:05.160998 140531649939328 learning.py:512] global step 112946: loss = 0.0068 (0.152 sec/step)
INFO:tensorflow:global step 112947: loss = 0.0266 (0.152 sec/step)
I0724 06:06:05.314577 140531649939328 learning.py:512] global step 112947: loss = 0.0266 (0.152 sec/step)
INFO:tensorflow:global step 112948: loss = 0.0174 (0.164 sec/step)
I0724 06:06:05.479699 140531649939328 learning.py:512] global step 112948: loss = 0.0174 (0.164 sec/step)
INFO:tensorflow:global step 112949: loss = 0.0150 (0.167 sec/step)
I0724 06:06:05.648400 140531649939328 learning.py:512] global step 112949: loss = 0.0150 (0.167 sec/step)
INFO:tensorflow:global step 112950: loss = 0.0137 (0.170 sec/step)
I0724 06:06:05.819533 140531649939328 learning.py:512] global step 112950: loss = 0.0137 (0.170 sec/step)
INFO:tensorflow:global step 112951: loss = 0.0114 (0.167 sec/step)
I0724 06:06:05.987675 140531649939328 learning.py:512] global step 112951: loss = 0.0114 (0.167 sec/step)
INFO:tensorflow:global step 112952: loss = 0.0178 (0.159 sec/step)
I0724 06:06:06.148062 140531649939328 learning.py:512] global step 112952: loss = 0.0178 (0.159 sec/step)
INFO:tensorflow:global step 112953: loss = 0.0048 (0.165 sec/step)
I0724 06:06:06.314285 140531649939328 learning.py:512] global step 112953: loss = 0.0048 (0.165 sec/step)
INFO:tensorflow:global step 112954: loss = 0.0312 (0.168 sec/step)
I0724 06:06:06.483604 140531649939328 learning.py:512] global step 112954: loss = 0.0312 (0.168 sec/step)
INFO:tensorflow:global step 112955: loss = 0.0466 (0.157 sec/step)
I0724 06:06:06.641695 140531649939328 learning.py:512] global step 112955: loss = 0.0466 (0.157 sec/step)
INFO:tensorflow:global step 112956: loss = 0.0455 (0.166 sec/step)
I0724 06:06:06.808818 140531649939328 learning.py:512] global step 112956: loss = 0.0455 (0.166 sec/step)
INFO:tensorflow:global step 112957: loss = 0.0070 (0.162 sec/step)
I0724 06:06:06.972213 140531649939328 learning.py:512] global step 112957: loss = 0.0070 (0.162 sec/step)
INFO:tensorflow:global step 112958: loss = 0.0146 (0.158 sec/step)
I0724 06:06:07.131730 140531649939328 learning.py:512] global step 112958: loss = 0.0146 (0.158 sec/step)
INFO:tensorflow:global step 112959: loss = 0.0586 (0.160 sec/step)
I0724 06:06:07.292763 140531649939328 learning.py:512] global step 112959: loss = 0.0586 (0.160 sec/step)
INFO:tensorflow:global step 112960: loss = 0.0787 (0.159 sec/step)
I0724 06:06:07.453478 140531649939328 learning.py:512] global step 112960: loss = 0.0787 (0.159 sec/step)
INFO:tensorflow:global step 112961: loss = 0.0937 (0.160 sec/step)
I0724 06:06:07.614760 140531649939328 learning.py:512] global step 112961: loss = 0.0937 (0.160 sec/step)
INFO:tensorflow:global step 112962: loss = 0.0120 (0.158 sec/step)
I0724 06:06:07.774658 140531649939328 learning.py:512] global step 112962: loss = 0.0120 (0.158 sec/step)
INFO:tensorflow:global step 112963: loss = 0.0119 (0.149 sec/step)
I0724 06:06:07.925151 140531649939328 learning.py:512] global step 112963: loss = 0.0119 (0.149 sec/step)
INFO:tensorflow:global step 112964: loss = 0.0604 (0.160 sec/step)
I0724 06:06:08.086932 140531649939328 learning.py:512] global step 112964: loss = 0.0604 (0.160 sec/step)
INFO:tensorflow:global step 112965: loss = 0.0681 (0.162 sec/step)
I0724 06:06:08.250688 140531649939328 learning.py:512] global step 112965: loss = 0.0681 (0.162 sec/step)
INFO:tensorflow:global step 112966: loss = 0.0216 (0.160 sec/step)
I0724 06:06:08.411670 140531649939328 learning.py:512] global step 112966: loss = 0.0216 (0.160 sec/step)
INFO:tensorflow:global step 112967: loss = 0.0668 (0.175 sec/step)
I0724 06:06:08.588176 140531649939328 learning.py:512] global step 112967: loss = 0.0668 (0.175 sec/step)
INFO:tensorflow:global step 112968: loss = 0.1150 (0.165 sec/step)
I0724 06:06:08.754083 140531649939328 learning.py:512] global step 112968: loss = 0.1150 (0.165 sec/step)
INFO:tensorflow:global step 112969: loss = 0.0317 (0.151 sec/step)
I0724 06:06:08.906332 140531649939328 learning.py:512] global step 112969: loss = 0.0317 (0.151 sec/step)
INFO:tensorflow:global step 112970: loss = 0.0386 (0.169 sec/step)
I0724 06:06:09.076579 140531649939328 learning.py:512] global step 112970: loss = 0.0386 (0.169 sec/step)
INFO:tensorflow:global step 112971: loss = 0.1100 (0.150 sec/step)
I0724 06:06:09.227655 140531649939328 learning.py:512] global step 112971: loss = 0.1100 (0.150 sec/step)
INFO:tensorflow:global step 112972: loss = 0.0382 (0.161 sec/step)
I0724 06:06:09.390295 140531649939328 learning.py:512] global step 112972: loss = 0.0382 (0.161 sec/step)
INFO:tensorflow:global step 112973: loss = 0.0354 (0.157 sec/step)
I0724 06:06:09.548455 140531649939328 learning.py:512] global step 112973: loss = 0.0354 (0.157 sec/step)
INFO:tensorflow:global step 112974: loss = 0.0508 (0.161 sec/step)
I0724 06:06:09.710762 140531649939328 learning.py:512] global step 112974: loss = 0.0508 (0.161 sec/step)
INFO:tensorflow:global step 112975: loss = 0.0348 (0.164 sec/step)
I0724 06:06:09.875785 140531649939328 learning.py:512] global step 112975: loss = 0.0348 (0.164 sec/step)
INFO:tensorflow:global step 112976: loss = 0.0405 (0.147 sec/step)
I0724 06:06:10.023998 140531649939328 learning.py:512] global step 112976: loss = 0.0405 (0.147 sec/step)
INFO:tensorflow:global step 112977: loss = 0.0262 (0.171 sec/step)
I0724 06:06:10.196071 140531649939328 learning.py:512] global step 112977: loss = 0.0262 (0.171 sec/step)
INFO:tensorflow:global step 112978: loss = 0.0772 (0.166 sec/step)
I0724 06:06:10.363796 140531649939328 learning.py:512] global step 112978: loss = 0.0772 (0.166 sec/step)
INFO:tensorflow:global step 112979: loss = 0.0262 (0.155 sec/step)
I0724 06:06:10.519996 140531649939328 learning.py:512] global step 112979: loss = 0.0262 (0.155 sec/step)
INFO:tensorflow:global step 112980: loss = 0.0517 (0.173 sec/step)
I0724 06:06:10.694730 140531649939328 learning.py:512] global step 112980: loss = 0.0517 (0.173 sec/step)
INFO:tensorflow:global step 112981: loss = 0.0369 (0.164 sec/step)
I0724 06:06:10.860581 140531649939328 learning.py:512] global step 112981: loss = 0.0369 (0.164 sec/step)
INFO:tensorflow:global step 112982: loss = 0.0339 (0.252 sec/step)
I0724 06:06:11.137960 140531649939328 learning.py:512] global step 112982: loss = 0.0339 (0.252 sec/step)
INFO:tensorflow:global step 112983: loss = 0.0078 (0.345 sec/step)
I0724 06:06:11.509224 140531649939328 learning.py:512] global step 112983: loss = 0.0078 (0.345 sec/step)
INFO:tensorflow:global step 112984: loss = 0.0872 (0.268 sec/step)
I0724 06:06:11.778996 140531649939328 learning.py:512] global step 112984: loss = 0.0872 (0.268 sec/step)
INFO:tensorflow:Recording summary at step 112984.
I0724 06:06:11.837850 140528128378624 supervisor.py:1050] Recording summary at step 112984.
INFO:tensorflow:global step 112985: loss = 0.0194 (0.168 sec/step)
I0724 06:06:11.951425 140531649939328 learning.py:512] global step 112985: loss = 0.0194 (0.168 sec/step)
INFO:tensorflow:global step 112986: loss = 0.0112 (0.145 sec/step)
I0724 06:06:12.099741 140531649939328 learning.py:512] global step 112986: loss = 0.0112 (0.145 sec/step)
INFO:tensorflow:global step 112987: loss = 0.0175 (0.168 sec/step)
I0724 06:06:12.269244 140531649939328 learning.py:512] global step 112987: loss = 0.0175 (0.168 sec/step)
INFO:tensorflow:global step 112988: loss = 0.0269 (0.154 sec/step)
I0724 06:06:12.424577 140531649939328 learning.py:512] global step 112988: loss = 0.0269 (0.154 sec/step)
INFO:tensorflow:global step 112989: loss = 0.0147 (0.166 sec/step)
I0724 06:06:12.592068 140531649939328 learning.py:512] global step 112989: loss = 0.0147 (0.166 sec/step)
INFO:tensorflow:global step 112990: loss = 0.0150 (0.171 sec/step)
I0724 06:06:12.764541 140531649939328 learning.py:512] global step 112990: loss = 0.0150 (0.171 sec/step)
INFO:tensorflow:global step 112991: loss = 0.0318 (0.169 sec/step)
I0724 06:06:12.934656 140531649939328 learning.py:512] global step 112991: loss = 0.0318 (0.169 sec/step)
INFO:tensorflow:global step 112992: loss = 0.0632 (0.154 sec/step)
I0724 06:06:13.090376 140531649939328 learning.py:512] global step 112992: loss = 0.0632 (0.154 sec/step)
INFO:tensorflow:global step 112993: loss = 0.0402 (0.168 sec/step)
I0724 06:06:13.259634 140531649939328 learning.py:512] global step 112993: loss = 0.0402 (0.168 sec/step)
INFO:tensorflow:global step 112994: loss = 0.0872 (0.178 sec/step)
I0724 06:06:13.439012 140531649939328 learning.py:512] global step 112994: loss = 0.0872 (0.178 sec/step)
INFO:tensorflow:global step 112995: loss = 0.0061 (0.171 sec/step)
I0724 06:06:13.611731 140531649939328 learning.py:512] global step 112995: loss = 0.0061 (0.171 sec/step)
INFO:tensorflow:global step 112996: loss = 0.0692 (0.173 sec/step)
I0724 06:06:13.785854 140531649939328 learning.py:512] global step 112996: loss = 0.0692 (0.173 sec/step)
INFO:tensorflow:global step 112997: loss = 0.0719 (0.157 sec/step)
I0724 06:06:13.944059 140531649939328 learning.py:512] global step 112997: loss = 0.0719 (0.157 sec/step)
INFO:tensorflow:global step 112998: loss = 0.1078 (0.178 sec/step)
I0724 06:06:14.123752 140531649939328 learning.py:512] global step 112998: loss = 0.1078 (0.178 sec/step)
INFO:tensorflow:global step 112999: loss = 0.0254 (0.158 sec/step)
I0724 06:06:14.283019 140531649939328 learning.py:512] global step 112999: loss = 0.0254 (0.158 sec/step)
INFO:tensorflow:global step 113000: loss = 0.0319 (0.174 sec/step)
I0724 06:06:14.458407 140531649939328 learning.py:512] global step 113000: loss = 0.0319 (0.174 sec/step)
INFO:tensorflow:global step 113001: loss = 0.0732 (0.136 sec/step)
I0724 06:06:14.595855 140531649939328 learning.py:512] global step 113001: loss = 0.0732 (0.136 sec/step)
INFO:tensorflow:global step 113002: loss = 0.1475 (0.164 sec/step)
I0724 06:06:14.761306 140531649939328 learning.py:512] global step 113002: loss = 0.1475 (0.164 sec/step)
INFO:tensorflow:global step 113003: loss = 0.0169 (0.180 sec/step)
I0724 06:06:14.942775 140531649939328 learning.py:512] global step 113003: loss = 0.0169 (0.180 sec/step)
INFO:tensorflow:global step 113004: loss = 0.0751 (0.150 sec/step)
I0724 06:06:15.094715 140531649939328 learning.py:512] global step 113004: loss = 0.0751 (0.150 sec/step)
INFO:tensorflow:global step 113005: loss = 0.0219 (0.164 sec/step)
I0724 06:06:15.260102 140531649939328 learning.py:512] global step 113005: loss = 0.0219 (0.164 sec/step)
INFO:tensorflow:global step 113006: loss = 0.0094 (0.151 sec/step)
I0724 06:06:15.412572 140531649939328 learning.py:512] global step 113006: loss = 0.0094 (0.151 sec/step)
INFO:tensorflow:global step 113007: loss = 0.1127 (0.148 sec/step)
I0724 06:06:15.561434 140531649939328 learning.py:512] global step 113007: loss = 0.1127 (0.148 sec/step)
INFO:tensorflow:global step 113008: loss = 0.0353 (0.168 sec/step)
I0724 06:06:15.730704 140531649939328 learning.py:512] global step 113008: loss = 0.0353 (0.168 sec/step)
INFO:tensorflow:global step 113009: loss = 0.1005 (0.173 sec/step)
I0724 06:06:15.905409 140531649939328 learning.py:512] global step 113009: loss = 0.1005 (0.173 sec/step)
INFO:tensorflow:global step 113010: loss = 0.0179 (0.157 sec/step)
I0724 06:06:16.063544 140531649939328 learning.py:512] global step 113010: loss = 0.0179 (0.157 sec/step)
INFO:tensorflow:global step 113011: loss = 0.0117 (0.180 sec/step)
I0724 06:06:16.245095 140531649939328 learning.py:512] global step 113011: loss = 0.0117 (0.180 sec/step)
INFO:tensorflow:global step 113012: loss = 0.0205 (0.148 sec/step)
I0724 06:06:16.394527 140531649939328 learning.py:512] global step 113012: loss = 0.0205 (0.148 sec/step)
INFO:tensorflow:global step 113013: loss = 0.0761 (0.155 sec/step)
I0724 06:06:16.550539 140531649939328 learning.py:512] global step 113013: loss = 0.0761 (0.155 sec/step)
INFO:tensorflow:global step 113014: loss = 0.0485 (0.171 sec/step)
I0724 06:06:16.723242 140531649939328 learning.py:512] global step 113014: loss = 0.0485 (0.171 sec/step)
INFO:tensorflow:global step 113015: loss = 0.0040 (0.161 sec/step)
I0724 06:06:16.885767 140531649939328 learning.py:512] global step 113015: loss = 0.0040 (0.161 sec/step)
INFO:tensorflow:global step 113016: loss = 0.0225 (0.152 sec/step)
I0724 06:06:17.039114 140531649939328 learning.py:512] global step 113016: loss = 0.0225 (0.152 sec/step)
INFO:tensorflow:global step 113017: loss = 0.0909 (0.160 sec/step)
I0724 06:06:17.200122 140531649939328 learning.py:512] global step 113017: loss = 0.0909 (0.160 sec/step)
INFO:tensorflow:global step 113018: loss = 0.0351 (0.150 sec/step)
I0724 06:06:17.351817 140531649939328 learning.py:512] global step 113018: loss = 0.0351 (0.150 sec/step)
INFO:tensorflow:global step 113019: loss = 0.0181 (0.151 sec/step)
I0724 06:06:17.504240 140531649939328 learning.py:512] global step 113019: loss = 0.0181 (0.151 sec/step)
INFO:tensorflow:global step 113020: loss = 0.0318 (0.149 sec/step)
I0724 06:06:17.654622 140531649939328 learning.py:512] global step 113020: loss = 0.0318 (0.149 sec/step)
INFO:tensorflow:global step 113021: loss = 0.0231 (0.184 sec/step)
I0724 06:06:17.840468 140531649939328 learning.py:512] global step 113021: loss = 0.0231 (0.184 sec/step)
INFO:tensorflow:global step 113022: loss = 0.0391 (0.167 sec/step)
I0724 06:06:18.008503 140531649939328 learning.py:512] global step 113022: loss = 0.0391 (0.167 sec/step)
INFO:tensorflow:global step 113023: loss = 0.0094 (0.140 sec/step)
I0724 06:06:18.149904 140531649939328 learning.py:512] global step 113023: loss = 0.0094 (0.140 sec/step)
INFO:tensorflow:global step 113024: loss = 0.0121 (0.161 sec/step)
I0724 06:06:18.312856 140531649939328 learning.py:512] global step 113024: loss = 0.0121 (0.161 sec/step)
INFO:tensorflow:global step 113025: loss = 0.0948 (0.174 sec/step)
I0724 06:06:18.488308 140531649939328 learning.py:512] global step 113025: loss = 0.0948 (0.174 sec/step)
INFO:tensorflow:global step 113026: loss = 0.0087 (0.155 sec/step)
I0724 06:06:18.644749 140531649939328 learning.py:512] global step 113026: loss = 0.0087 (0.155 sec/step)
INFO:tensorflow:global step 113027: loss = 0.0109 (0.165 sec/step)
I0724 06:06:18.811457 140531649939328 learning.py:512] global step 113027: loss = 0.0109 (0.165 sec/step)
INFO:tensorflow:global step 113028: loss = 0.0182 (0.163 sec/step)
I0724 06:06:18.975461 140531649939328 learning.py:512] global step 113028: loss = 0.0182 (0.163 sec/step)
INFO:tensorflow:global step 113029: loss = 0.0912 (0.162 sec/step)
I0724 06:06:19.139091 140531649939328 learning.py:512] global step 113029: loss = 0.0912 (0.162 sec/step)
INFO:tensorflow:global step 113030: loss = 0.0064 (0.163 sec/step)
I0724 06:06:19.303655 140531649939328 learning.py:512] global step 113030: loss = 0.0064 (0.163 sec/step)
INFO:tensorflow:global step 113031: loss = 0.0210 (0.178 sec/step)
I0724 06:06:19.483140 140531649939328 learning.py:512] global step 113031: loss = 0.0210 (0.178 sec/step)
INFO:tensorflow:global step 113032: loss = 0.0059 (0.160 sec/step)
I0724 06:06:19.644916 140531649939328 learning.py:512] global step 113032: loss = 0.0059 (0.160 sec/step)
INFO:tensorflow:global step 113033: loss = 0.0184 (0.152 sec/step)
I0724 06:06:19.798208 140531649939328 learning.py:512] global step 113033: loss = 0.0184 (0.152 sec/step)
INFO:tensorflow:global step 113034: loss = 0.0152 (0.146 sec/step)
I0724 06:06:19.947634 140531649939328 learning.py:512] global step 113034: loss = 0.0152 (0.146 sec/step)
INFO:tensorflow:global step 113035: loss = 0.0338 (0.147 sec/step)
I0724 06:06:20.095925 140531649939328 learning.py:512] global step 113035: loss = 0.0338 (0.147 sec/step)
INFO:tensorflow:global step 113036: loss = 0.0102 (0.164 sec/step)
I0724 06:06:20.260676 140531649939328 learning.py:512] global step 113036: loss = 0.0102 (0.164 sec/step)
INFO:tensorflow:global step 113037: loss = 0.0130 (0.184 sec/step)
I0724 06:06:20.446612 140531649939328 learning.py:512] global step 113037: loss = 0.0130 (0.184 sec/step)
INFO:tensorflow:global step 113038: loss = 0.0110 (0.232 sec/step)
I0724 06:06:20.680728 140531649939328 learning.py:512] global step 113038: loss = 0.0110 (0.232 sec/step)
INFO:tensorflow:global step 113039: loss = 0.0754 (0.173 sec/step)
I0724 06:06:20.855823 140531649939328 learning.py:512] global step 113039: loss = 0.0754 (0.173 sec/step)
INFO:tensorflow:global step 113040: loss = 0.0214 (0.166 sec/step)
I0724 06:06:21.023542 140531649939328 learning.py:512] global step 113040: loss = 0.0214 (0.166 sec/step)
INFO:tensorflow:global step 113041: loss = 0.1615 (0.159 sec/step)
I0724 06:06:21.183836 140531649939328 learning.py:512] global step 113041: loss = 0.1615 (0.159 sec/step)
INFO:tensorflow:global step 113042: loss = 0.0421 (0.204 sec/step)
I0724 06:06:21.389223 140531649939328 learning.py:512] global step 113042: loss = 0.0421 (0.204 sec/step)
INFO:tensorflow:global step 113043: loss = 0.0589 (0.165 sec/step)
I0724 06:06:21.555307 140531649939328 learning.py:512] global step 113043: loss = 0.0589 (0.165 sec/step)
INFO:tensorflow:global step 113044: loss = 0.0298 (0.165 sec/step)
I0724 06:06:21.722220 140531649939328 learning.py:512] global step 113044: loss = 0.0298 (0.165 sec/step)
INFO:tensorflow:global step 113045: loss = 0.0468 (0.255 sec/step)
I0724 06:06:21.979417 140531649939328 learning.py:512] global step 113045: loss = 0.0468 (0.255 sec/step)
INFO:tensorflow:global step 113046: loss = 0.0390 (0.264 sec/step)
I0724 06:06:22.245059 140531649939328 learning.py:512] global step 113046: loss = 0.0390 (0.264 sec/step)
INFO:tensorflow:global step 113047: loss = 0.0077 (0.196 sec/step)
I0724 06:06:22.443146 140531649939328 learning.py:512] global step 113047: loss = 0.0077 (0.196 sec/step)
INFO:tensorflow:global step 113048: loss = 0.0446 (0.193 sec/step)
I0724 06:06:22.637287 140531649939328 learning.py:512] global step 113048: loss = 0.0446 (0.193 sec/step)
INFO:tensorflow:global step 113049: loss = 0.0166 (0.164 sec/step)
I0724 06:06:22.802756 140531649939328 learning.py:512] global step 113049: loss = 0.0166 (0.164 sec/step)
INFO:tensorflow:global step 113050: loss = 0.0033 (0.148 sec/step)
I0724 06:06:22.952131 140531649939328 learning.py:512] global step 113050: loss = 0.0033 (0.148 sec/step)
INFO:tensorflow:global step 113051: loss = 0.0153 (0.162 sec/step)
I0724 06:06:23.115691 140531649939328 learning.py:512] global step 113051: loss = 0.0153 (0.162 sec/step)
INFO:tensorflow:global step 113052: loss = 0.0081 (0.173 sec/step)
I0724 06:06:23.289893 140531649939328 learning.py:512] global step 113052: loss = 0.0081 (0.173 sec/step)
INFO:tensorflow:global step 113053: loss = 0.0183 (0.167 sec/step)
I0724 06:06:23.458269 140531649939328 learning.py:512] global step 113053: loss = 0.0183 (0.167 sec/step)
INFO:tensorflow:global step 113054: loss = 0.0292 (0.161 sec/step)
I0724 06:06:23.620328 140531649939328 learning.py:512] global step 113054: loss = 0.0292 (0.161 sec/step)
INFO:tensorflow:global step 113055: loss = 0.0489 (0.165 sec/step)
I0724 06:06:23.786951 140531649939328 learning.py:512] global step 113055: loss = 0.0489 (0.165 sec/step)
INFO:tensorflow:global step 113056: loss = 0.0425 (0.216 sec/step)
I0724 06:06:24.005431 140531649939328 learning.py:512] global step 113056: loss = 0.0425 (0.216 sec/step)
INFO:tensorflow:global step 113057: loss = 0.0215 (0.220 sec/step)
I0724 06:06:24.227645 140531649939328 learning.py:512] global step 113057: loss = 0.0215 (0.220 sec/step)
INFO:tensorflow:global step 113058: loss = 0.0882 (0.169 sec/step)
I0724 06:06:24.400408 140531649939328 learning.py:512] global step 113058: loss = 0.0882 (0.169 sec/step)
INFO:tensorflow:global step 113059: loss = 0.0149 (0.154 sec/step)
I0724 06:06:24.556099 140531649939328 learning.py:512] global step 113059: loss = 0.0149 (0.154 sec/step)
INFO:tensorflow:global step 113060: loss = 0.0292 (0.154 sec/step)
I0724 06:06:24.711575 140531649939328 learning.py:512] global step 113060: loss = 0.0292 (0.154 sec/step)
INFO:tensorflow:global step 113061: loss = 0.0462 (0.199 sec/step)
I0724 06:06:24.912703 140531649939328 learning.py:512] global step 113061: loss = 0.0462 (0.199 sec/step)
INFO:tensorflow:global step 113062: loss = 0.0087 (0.206 sec/step)
I0724 06:06:25.121631 140531649939328 learning.py:512] global step 113062: loss = 0.0087 (0.206 sec/step)
INFO:tensorflow:global step 113063: loss = 0.0195 (0.173 sec/step)
I0724 06:06:25.296860 140531649939328 learning.py:512] global step 113063: loss = 0.0195 (0.173 sec/step)
INFO:tensorflow:global step 113064: loss = 0.0059 (0.153 sec/step)
I0724 06:06:25.450675 140531649939328 learning.py:512] global step 113064: loss = 0.0059 (0.153 sec/step)
INFO:tensorflow:global step 113065: loss = 0.0165 (0.157 sec/step)
I0724 06:06:25.608615 140531649939328 learning.py:512] global step 113065: loss = 0.0165 (0.157 sec/step)
INFO:tensorflow:global step 113066: loss = 0.1245 (0.165 sec/step)
I0724 06:06:25.775156 140531649939328 learning.py:512] global step 113066: loss = 0.1245 (0.165 sec/step)
INFO:tensorflow:global step 113067: loss = 0.0461 (0.168 sec/step)
I0724 06:06:25.944214 140531649939328 learning.py:512] global step 113067: loss = 0.0461 (0.168 sec/step)
INFO:tensorflow:global step 113068: loss = 0.0233 (0.165 sec/step)
I0724 06:06:26.110718 140531649939328 learning.py:512] global step 113068: loss = 0.0233 (0.165 sec/step)
INFO:tensorflow:global step 113069: loss = 0.0390 (0.176 sec/step)
I0724 06:06:26.287962 140531649939328 learning.py:512] global step 113069: loss = 0.0390 (0.176 sec/step)
INFO:tensorflow:global step 113070: loss = 0.0206 (0.145 sec/step)
I0724 06:06:26.433818 140531649939328 learning.py:512] global step 113070: loss = 0.0206 (0.145 sec/step)
INFO:tensorflow:global step 113071: loss = 0.0621 (0.165 sec/step)
I0724 06:06:26.600577 140531649939328 learning.py:512] global step 113071: loss = 0.0621 (0.165 sec/step)
INFO:tensorflow:global step 113072: loss = 0.0227 (0.153 sec/step)
I0724 06:06:26.755196 140531649939328 learning.py:512] global step 113072: loss = 0.0227 (0.153 sec/step)
INFO:tensorflow:global step 113073: loss = 0.0616 (0.168 sec/step)
I0724 06:06:26.924654 140531649939328 learning.py:512] global step 113073: loss = 0.0616 (0.168 sec/step)
INFO:tensorflow:global step 113074: loss = 0.0158 (0.163 sec/step)
I0724 06:06:27.089071 140531649939328 learning.py:512] global step 113074: loss = 0.0158 (0.163 sec/step)
INFO:tensorflow:global step 113075: loss = 0.0212 (0.163 sec/step)
I0724 06:06:27.252942 140531649939328 learning.py:512] global step 113075: loss = 0.0212 (0.163 sec/step)
INFO:tensorflow:global step 113076: loss = 0.0125 (0.166 sec/step)
I0724 06:06:27.420020 140531649939328 learning.py:512] global step 113076: loss = 0.0125 (0.166 sec/step)
INFO:tensorflow:global step 113077: loss = 0.0708 (0.160 sec/step)
I0724 06:06:27.581407 140531649939328 learning.py:512] global step 113077: loss = 0.0708 (0.160 sec/step)
INFO:tensorflow:global step 113078: loss = 0.0116 (0.159 sec/step)
I0724 06:06:27.741542 140531649939328 learning.py:512] global step 113078: loss = 0.0116 (0.159 sec/step)
INFO:tensorflow:global step 113079: loss = 0.0320 (0.161 sec/step)
I0724 06:06:27.903980 140531649939328 learning.py:512] global step 113079: loss = 0.0320 (0.161 sec/step)
INFO:tensorflow:global step 113080: loss = 0.0083 (0.175 sec/step)
I0724 06:06:28.080604 140531649939328 learning.py:512] global step 113080: loss = 0.0083 (0.175 sec/step)
INFO:tensorflow:global step 113081: loss = 0.0264 (0.155 sec/step)
I0724 06:06:28.237172 140531649939328 learning.py:512] global step 113081: loss = 0.0264 (0.155 sec/step)
INFO:tensorflow:global step 113082: loss = 0.0201 (0.164 sec/step)
I0724 06:06:28.402457 140531649939328 learning.py:512] global step 113082: loss = 0.0201 (0.164 sec/step)
INFO:tensorflow:global step 113083: loss = 0.0290 (0.150 sec/step)
I0724 06:06:28.554129 140531649939328 learning.py:512] global step 113083: loss = 0.0290 (0.150 sec/step)
INFO:tensorflow:global step 113084: loss = 0.0124 (0.154 sec/step)
I0724 06:06:28.709953 140531649939328 learning.py:512] global step 113084: loss = 0.0124 (0.154 sec/step)
INFO:tensorflow:global step 113085: loss = 0.0913 (0.170 sec/step)
I0724 06:06:28.881798 140531649939328 learning.py:512] global step 113085: loss = 0.0913 (0.170 sec/step)
INFO:tensorflow:global step 113086: loss = 0.0128 (0.160 sec/step)
I0724 06:06:29.043081 140531649939328 learning.py:512] global step 113086: loss = 0.0128 (0.160 sec/step)
INFO:tensorflow:global step 113087: loss = 0.0970 (0.161 sec/step)
I0724 06:06:29.205434 140531649939328 learning.py:512] global step 113087: loss = 0.0970 (0.161 sec/step)
INFO:tensorflow:global step 113088: loss = 0.0096 (0.170 sec/step)
I0724 06:06:29.376394 140531649939328 learning.py:512] global step 113088: loss = 0.0096 (0.170 sec/step)
INFO:tensorflow:global step 113089: loss = 0.0297 (0.158 sec/step)
I0724 06:06:29.535437 140531649939328 learning.py:512] global step 113089: loss = 0.0297 (0.158 sec/step)
INFO:tensorflow:global step 113090: loss = 0.0798 (0.160 sec/step)
I0724 06:06:29.697246 140531649939328 learning.py:512] global step 113090: loss = 0.0798 (0.160 sec/step)
INFO:tensorflow:global step 113091: loss = 0.0138 (0.164 sec/step)
I0724 06:06:29.862501 140531649939328 learning.py:512] global step 113091: loss = 0.0138 (0.164 sec/step)
INFO:tensorflow:global step 113092: loss = 0.0043 (0.154 sec/step)
I0724 06:06:30.017790 140531649939328 learning.py:512] global step 113092: loss = 0.0043 (0.154 sec/step)
INFO:tensorflow:global step 113093: loss = 0.0282 (0.167 sec/step)
I0724 06:06:30.186200 140531649939328 learning.py:512] global step 113093: loss = 0.0282 (0.167 sec/step)
INFO:tensorflow:global step 113094: loss = 0.0125 (0.164 sec/step)
I0724 06:06:30.351383 140531649939328 learning.py:512] global step 113094: loss = 0.0125 (0.164 sec/step)
INFO:tensorflow:global step 113095: loss = 0.0296 (0.173 sec/step)
I0724 06:06:30.526246 140531649939328 learning.py:512] global step 113095: loss = 0.0296 (0.173 sec/step)
INFO:tensorflow:global step 113096: loss = 0.0374 (0.156 sec/step)
I0724 06:06:30.683562 140531649939328 learning.py:512] global step 113096: loss = 0.0374 (0.156 sec/step)
INFO:tensorflow:global step 113097: loss = 0.0238 (0.151 sec/step)
I0724 06:06:30.836236 140531649939328 learning.py:512] global step 113097: loss = 0.0238 (0.151 sec/step)
INFO:tensorflow:global step 113098: loss = 0.0666 (0.148 sec/step)
I0724 06:06:30.985533 140531649939328 learning.py:512] global step 113098: loss = 0.0666 (0.148 sec/step)
INFO:tensorflow:global step 113099: loss = 0.0136 (0.187 sec/step)
I0724 06:06:31.174334 140531649939328 learning.py:512] global step 113099: loss = 0.0136 (0.187 sec/step)
INFO:tensorflow:global step 113100: loss = 0.0560 (0.166 sec/step)
I0724 06:06:31.341632 140531649939328 learning.py:512] global step 113100: loss = 0.0560 (0.166 sec/step)
INFO:tensorflow:global step 113101: loss = 0.0214 (0.155 sec/step)
I0724 06:06:31.497447 140531649939328 learning.py:512] global step 113101: loss = 0.0214 (0.155 sec/step)
INFO:tensorflow:global step 113102: loss = 0.0631 (0.155 sec/step)
I0724 06:06:31.653767 140531649939328 learning.py:512] global step 113102: loss = 0.0631 (0.155 sec/step)
INFO:tensorflow:global step 113103: loss = 0.0634 (0.161 sec/step)
I0724 06:06:31.816202 140531649939328 learning.py:512] global step 113103: loss = 0.0634 (0.161 sec/step)
INFO:tensorflow:global step 113104: loss = 0.0107 (0.167 sec/step)
I0724 06:06:31.984116 140531649939328 learning.py:512] global step 113104: loss = 0.0107 (0.167 sec/step)
INFO:tensorflow:global step 113105: loss = 0.0150 (0.162 sec/step)
I0724 06:06:32.148747 140531649939328 learning.py:512] global step 113105: loss = 0.0150 (0.162 sec/step)
INFO:tensorflow:global step 113106: loss = 0.0097 (0.166 sec/step)
I0724 06:06:32.316014 140531649939328 learning.py:512] global step 113106: loss = 0.0097 (0.166 sec/step)
INFO:tensorflow:global step 113107: loss = 0.0307 (0.164 sec/step)
I0724 06:06:32.481481 140531649939328 learning.py:512] global step 113107: loss = 0.0307 (0.164 sec/step)
INFO:tensorflow:global step 113108: loss = 0.0272 (0.166 sec/step)
I0724 06:06:32.648531 140531649939328 learning.py:512] global step 113108: loss = 0.0272 (0.166 sec/step)
INFO:tensorflow:global step 113109: loss = 0.0241 (0.154 sec/step)
I0724 06:06:32.803818 140531649939328 learning.py:512] global step 113109: loss = 0.0241 (0.154 sec/step)
INFO:tensorflow:global step 113110: loss = 0.0404 (0.160 sec/step)
I0724 06:06:32.965708 140531649939328 learning.py:512] global step 113110: loss = 0.0404 (0.160 sec/step)
INFO:tensorflow:global step 113111: loss = 0.0235 (0.171 sec/step)
I0724 06:06:33.137962 140531649939328 learning.py:512] global step 113111: loss = 0.0235 (0.171 sec/step)
INFO:tensorflow:global step 113112: loss = 0.0077 (0.164 sec/step)
I0724 06:06:33.303339 140531649939328 learning.py:512] global step 113112: loss = 0.0077 (0.164 sec/step)
INFO:tensorflow:global step 113113: loss = 0.0333 (0.156 sec/step)
I0724 06:06:33.460606 140531649939328 learning.py:512] global step 113113: loss = 0.0333 (0.156 sec/step)
INFO:tensorflow:global step 113114: loss = 0.1181 (0.170 sec/step)
I0724 06:06:33.631479 140531649939328 learning.py:512] global step 113114: loss = 0.1181 (0.170 sec/step)
INFO:tensorflow:global step 113115: loss = 0.0120 (0.158 sec/step)
I0724 06:06:33.790374 140531649939328 learning.py:512] global step 113115: loss = 0.0120 (0.158 sec/step)
INFO:tensorflow:global step 113116: loss = 0.0049 (0.152 sec/step)
I0724 06:06:33.943656 140531649939328 learning.py:512] global step 113116: loss = 0.0049 (0.152 sec/step)
INFO:tensorflow:global step 113117: loss = 0.1033 (0.158 sec/step)
I0724 06:06:34.102696 140531649939328 learning.py:512] global step 113117: loss = 0.1033 (0.158 sec/step)
INFO:tensorflow:global step 113118: loss = 0.0610 (0.168 sec/step)
I0724 06:06:34.272460 140531649939328 learning.py:512] global step 113118: loss = 0.0610 (0.168 sec/step)
INFO:tensorflow:global step 113119: loss = 0.2034 (0.170 sec/step)
I0724 06:06:34.443771 140531649939328 learning.py:512] global step 113119: loss = 0.2034 (0.170 sec/step)
INFO:tensorflow:global step 113120: loss = 0.0038 (0.156 sec/step)
I0724 06:06:34.601634 140531649939328 learning.py:512] global step 113120: loss = 0.0038 (0.156 sec/step)
INFO:tensorflow:global step 113121: loss = 0.0735 (0.168 sec/step)
I0724 06:06:34.770811 140531649939328 learning.py:512] global step 113121: loss = 0.0735 (0.168 sec/step)
INFO:tensorflow:global step 113122: loss = 0.0633 (0.170 sec/step)
I0724 06:06:34.942103 140531649939328 learning.py:512] global step 113122: loss = 0.0633 (0.170 sec/step)
INFO:tensorflow:global step 113123: loss = 0.0577 (0.154 sec/step)
I0724 06:06:35.097548 140531649939328 learning.py:512] global step 113123: loss = 0.0577 (0.154 sec/step)
INFO:tensorflow:global step 113124: loss = 0.0728 (0.170 sec/step)
I0724 06:06:35.269023 140531649939328 learning.py:512] global step 113124: loss = 0.0728 (0.170 sec/step)
INFO:tensorflow:global step 113125: loss = 0.0132 (0.153 sec/step)
I0724 06:06:35.423486 140531649939328 learning.py:512] global step 113125: loss = 0.0132 (0.153 sec/step)
INFO:tensorflow:global step 113126: loss = 0.0549 (0.166 sec/step)
I0724 06:06:35.591012 140531649939328 learning.py:512] global step 113126: loss = 0.0549 (0.166 sec/step)
INFO:tensorflow:global step 113127: loss = 0.0259 (0.158 sec/step)
I0724 06:06:35.750009 140531649939328 learning.py:512] global step 113127: loss = 0.0259 (0.158 sec/step)
INFO:tensorflow:global step 113128: loss = 0.0705 (0.153 sec/step)
I0724 06:06:35.904204 140531649939328 learning.py:512] global step 113128: loss = 0.0705 (0.153 sec/step)
INFO:tensorflow:global step 113129: loss = 0.0311 (0.165 sec/step)
I0724 06:06:36.070256 140531649939328 learning.py:512] global step 113129: loss = 0.0311 (0.165 sec/step)
INFO:tensorflow:global step 113130: loss = 0.0211 (0.156 sec/step)
I0724 06:06:36.227919 140531649939328 learning.py:512] global step 113130: loss = 0.0211 (0.156 sec/step)
INFO:tensorflow:global step 113131: loss = 0.0391 (0.177 sec/step)
I0724 06:06:36.405979 140531649939328 learning.py:512] global step 113131: loss = 0.0391 (0.177 sec/step)
INFO:tensorflow:global step 113132: loss = 0.0194 (0.174 sec/step)
I0724 06:06:36.580808 140531649939328 learning.py:512] global step 113132: loss = 0.0194 (0.174 sec/step)
INFO:tensorflow:global step 113133: loss = 0.0241 (0.156 sec/step)
I0724 06:06:36.738336 140531649939328 learning.py:512] global step 113133: loss = 0.0241 (0.156 sec/step)
INFO:tensorflow:global step 113134: loss = 0.0111 (0.164 sec/step)
I0724 06:06:36.904193 140531649939328 learning.py:512] global step 113134: loss = 0.0111 (0.164 sec/step)
INFO:tensorflow:global step 113135: loss = 0.0836 (0.164 sec/step)
I0724 06:06:37.069545 140531649939328 learning.py:512] global step 113135: loss = 0.0836 (0.164 sec/step)
INFO:tensorflow:global step 113136: loss = 0.0329 (0.152 sec/step)
I0724 06:06:37.223095 140531649939328 learning.py:512] global step 113136: loss = 0.0329 (0.152 sec/step)
INFO:tensorflow:global step 113137: loss = 0.0636 (0.169 sec/step)
I0724 06:06:37.393014 140531649939328 learning.py:512] global step 113137: loss = 0.0636 (0.169 sec/step)
INFO:tensorflow:global step 113138: loss = 0.0166 (0.162 sec/step)
I0724 06:06:37.556325 140531649939328 learning.py:512] global step 113138: loss = 0.0166 (0.162 sec/step)
INFO:tensorflow:global step 113139: loss = 0.0129 (0.180 sec/step)
I0724 06:06:37.738109 140531649939328 learning.py:512] global step 113139: loss = 0.0129 (0.180 sec/step)
INFO:tensorflow:global step 113140: loss = 0.0763 (0.169 sec/step)
I0724 06:06:37.908373 140531649939328 learning.py:512] global step 113140: loss = 0.0763 (0.169 sec/step)
INFO:tensorflow:global step 113141: loss = 0.0224 (0.156 sec/step)
I0724 06:06:38.065814 140531649939328 learning.py:512] global step 113141: loss = 0.0224 (0.156 sec/step)
INFO:tensorflow:global step 113142: loss = 0.1643 (0.163 sec/step)
I0724 06:06:38.230452 140531649939328 learning.py:512] global step 113142: loss = 0.1643 (0.163 sec/step)
INFO:tensorflow:global step 113143: loss = 0.0076 (0.156 sec/step)
I0724 06:06:38.387863 140531649939328 learning.py:512] global step 113143: loss = 0.0076 (0.156 sec/step)
INFO:tensorflow:global step 113144: loss = 0.0148 (0.157 sec/step)
I0724 06:06:38.545945 140531649939328 learning.py:512] global step 113144: loss = 0.0148 (0.157 sec/step)
INFO:tensorflow:global step 113145: loss = 0.0143 (0.160 sec/step)
I0724 06:06:38.706950 140531649939328 learning.py:512] global step 113145: loss = 0.0143 (0.160 sec/step)
INFO:tensorflow:global step 113146: loss = 0.0837 (0.142 sec/step)
I0724 06:06:38.849816 140531649939328 learning.py:512] global step 113146: loss = 0.0837 (0.142 sec/step)
INFO:tensorflow:global step 113147: loss = 0.0368 (0.169 sec/step)
I0724 06:06:39.020491 140531649939328 learning.py:512] global step 113147: loss = 0.0368 (0.169 sec/step)
INFO:tensorflow:global step 113148: loss = 0.0090 (0.163 sec/step)
I0724 06:06:39.184591 140531649939328 learning.py:512] global step 113148: loss = 0.0090 (0.163 sec/step)
INFO:tensorflow:global step 113149: loss = 0.0067 (0.159 sec/step)
I0724 06:06:39.345398 140531649939328 learning.py:512] global step 113149: loss = 0.0067 (0.159 sec/step)
INFO:tensorflow:global step 113150: loss = 0.0645 (0.160 sec/step)
I0724 06:06:39.506313 140531649939328 learning.py:512] global step 113150: loss = 0.0645 (0.160 sec/step)
INFO:tensorflow:global step 113151: loss = 0.0042 (0.185 sec/step)
I0724 06:06:39.693023 140531649939328 learning.py:512] global step 113151: loss = 0.0042 (0.185 sec/step)
INFO:tensorflow:global step 113152: loss = 0.0438 (0.170 sec/step)
I0724 06:06:39.864285 140531649939328 learning.py:512] global step 113152: loss = 0.0438 (0.170 sec/step)
INFO:tensorflow:global step 113153: loss = 0.0205 (0.149 sec/step)
I0724 06:06:40.014762 140531649939328 learning.py:512] global step 113153: loss = 0.0205 (0.149 sec/step)
INFO:tensorflow:global step 113154: loss = 0.0100 (0.168 sec/step)
I0724 06:06:40.184486 140531649939328 learning.py:512] global step 113154: loss = 0.0100 (0.168 sec/step)
INFO:tensorflow:global step 113155: loss = 0.0580 (0.179 sec/step)
I0724 06:06:40.365215 140531649939328 learning.py:512] global step 113155: loss = 0.0580 (0.179 sec/step)
INFO:tensorflow:global step 113156: loss = 0.0655 (0.154 sec/step)
I0724 06:06:40.522239 140531649939328 learning.py:512] global step 113156: loss = 0.0655 (0.154 sec/step)
INFO:tensorflow:global step 113157: loss = 0.0321 (0.159 sec/step)
I0724 06:06:40.682457 140531649939328 learning.py:512] global step 113157: loss = 0.0321 (0.159 sec/step)
INFO:tensorflow:global step 113158: loss = 0.0138 (0.161 sec/step)
I0724 06:06:40.845061 140531649939328 learning.py:512] global step 113158: loss = 0.0138 (0.161 sec/step)
INFO:tensorflow:global step 113159: loss = 0.0535 (0.158 sec/step)
I0724 06:06:41.004889 140531649939328 learning.py:512] global step 113159: loss = 0.0535 (0.158 sec/step)
INFO:tensorflow:global step 113160: loss = 0.1560 (0.178 sec/step)
I0724 06:06:41.188568 140531649939328 learning.py:512] global step 113160: loss = 0.1560 (0.178 sec/step)
INFO:tensorflow:global step 113161: loss = 0.1165 (0.165 sec/step)
I0724 06:06:41.355585 140531649939328 learning.py:512] global step 113161: loss = 0.1165 (0.165 sec/step)
INFO:tensorflow:global step 113162: loss = 0.0247 (0.160 sec/step)
I0724 06:06:41.517126 140531649939328 learning.py:512] global step 113162: loss = 0.0247 (0.160 sec/step)
INFO:tensorflow:global step 113163: loss = 0.0261 (0.178 sec/step)
I0724 06:06:41.696241 140531649939328 learning.py:512] global step 113163: loss = 0.0261 (0.178 sec/step)
INFO:tensorflow:global step 113164: loss = 0.0281 (0.156 sec/step)
I0724 06:06:41.853292 140531649939328 learning.py:512] global step 113164: loss = 0.0281 (0.156 sec/step)
INFO:tensorflow:global step 113165: loss = 0.1260 (0.167 sec/step)
I0724 06:06:42.022069 140531649939328 learning.py:512] global step 113165: loss = 0.1260 (0.167 sec/step)
INFO:tensorflow:global step 113166: loss = 0.0217 (0.154 sec/step)
I0724 06:06:42.177686 140531649939328 learning.py:512] global step 113166: loss = 0.0217 (0.154 sec/step)
INFO:tensorflow:global step 113167: loss = 0.0322 (0.179 sec/step)
I0724 06:06:42.357946 140531649939328 learning.py:512] global step 113167: loss = 0.0322 (0.179 sec/step)
INFO:tensorflow:global step 113168: loss = 0.0262 (0.167 sec/step)
I0724 06:06:42.526652 140531649939328 learning.py:512] global step 113168: loss = 0.0262 (0.167 sec/step)
INFO:tensorflow:global step 113169: loss = 0.0384 (0.164 sec/step)
I0724 06:06:42.692561 140531649939328 learning.py:512] global step 113169: loss = 0.0384 (0.164 sec/step)
INFO:tensorflow:global step 113170: loss = 0.0662 (0.166 sec/step)
I0724 06:06:42.860289 140531649939328 learning.py:512] global step 113170: loss = 0.0662 (0.166 sec/step)
INFO:tensorflow:global step 113171: loss = 0.0231 (0.177 sec/step)
I0724 06:06:43.038479 140531649939328 learning.py:512] global step 113171: loss = 0.0231 (0.177 sec/step)
INFO:tensorflow:global step 113172: loss = 0.0134 (0.162 sec/step)
I0724 06:06:43.202384 140531649939328 learning.py:512] global step 113172: loss = 0.0134 (0.162 sec/step)
INFO:tensorflow:global step 113173: loss = 0.0569 (0.164 sec/step)
I0724 06:06:43.367587 140531649939328 learning.py:512] global step 113173: loss = 0.0569 (0.164 sec/step)
INFO:tensorflow:global step 113174: loss = 0.0034 (0.180 sec/step)
I0724 06:06:43.549196 140531649939328 learning.py:512] global step 113174: loss = 0.0034 (0.180 sec/step)
INFO:tensorflow:global step 113175: loss = 0.0105 (0.165 sec/step)
I0724 06:06:43.715356 140531649939328 learning.py:512] global step 113175: loss = 0.0105 (0.165 sec/step)
INFO:tensorflow:global step 113176: loss = 0.0498 (0.163 sec/step)
I0724 06:06:43.879337 140531649939328 learning.py:512] global step 113176: loss = 0.0498 (0.163 sec/step)
INFO:tensorflow:global step 113177: loss = 0.0262 (0.162 sec/step)
I0724 06:06:44.043390 140531649939328 learning.py:512] global step 113177: loss = 0.0262 (0.162 sec/step)
INFO:tensorflow:global step 113178: loss = 0.0500 (0.160 sec/step)
I0724 06:06:44.205137 140531649939328 learning.py:512] global step 113178: loss = 0.0500 (0.160 sec/step)
INFO:tensorflow:global step 113179: loss = 0.0096 (0.162 sec/step)
I0724 06:06:44.368753 140531649939328 learning.py:512] global step 113179: loss = 0.0096 (0.162 sec/step)
INFO:tensorflow:global step 113180: loss = 0.0415 (0.165 sec/step)
I0724 06:06:44.536122 140531649939328 learning.py:512] global step 113180: loss = 0.0415 (0.165 sec/step)
INFO:tensorflow:global step 113181: loss = 0.0301 (0.161 sec/step)
I0724 06:06:44.698632 140531649939328 learning.py:512] global step 113181: loss = 0.0301 (0.161 sec/step)
INFO:tensorflow:global step 113182: loss = 0.0214 (0.155 sec/step)
I0724 06:06:44.854557 140531649939328 learning.py:512] global step 113182: loss = 0.0214 (0.155 sec/step)
INFO:tensorflow:global step 113183: loss = 0.0532 (0.163 sec/step)
I0724 06:06:45.019156 140531649939328 learning.py:512] global step 113183: loss = 0.0532 (0.163 sec/step)
INFO:tensorflow:global step 113184: loss = 0.0245 (0.153 sec/step)
I0724 06:06:45.173168 140531649939328 learning.py:512] global step 113184: loss = 0.0245 (0.153 sec/step)
INFO:tensorflow:global step 113185: loss = 0.0438 (0.156 sec/step)
I0724 06:06:45.330725 140531649939328 learning.py:512] global step 113185: loss = 0.0438 (0.156 sec/step)
INFO:tensorflow:global step 113186: loss = 0.0324 (0.147 sec/step)
I0724 06:06:45.478884 140531649939328 learning.py:512] global step 113186: loss = 0.0324 (0.147 sec/step)
INFO:tensorflow:global step 113187: loss = 0.0169 (0.160 sec/step)
I0724 06:06:45.640377 140531649939328 learning.py:512] global step 113187: loss = 0.0169 (0.160 sec/step)
INFO:tensorflow:global step 113188: loss = 0.0174 (0.164 sec/step)
I0724 06:06:45.805566 140531649939328 learning.py:512] global step 113188: loss = 0.0174 (0.164 sec/step)
INFO:tensorflow:global step 113189: loss = 0.0594 (0.146 sec/step)
I0724 06:06:45.952647 140531649939328 learning.py:512] global step 113189: loss = 0.0594 (0.146 sec/step)
INFO:tensorflow:global step 113190: loss = 0.0652 (0.150 sec/step)
I0724 06:06:46.103874 140531649939328 learning.py:512] global step 113190: loss = 0.0652 (0.150 sec/step)
INFO:tensorflow:global step 113191: loss = 0.0153 (0.169 sec/step)
I0724 06:06:46.273822 140531649939328 learning.py:512] global step 113191: loss = 0.0153 (0.169 sec/step)
INFO:tensorflow:global step 113192: loss = 0.0237 (0.171 sec/step)
I0724 06:06:46.446683 140531649939328 learning.py:512] global step 113192: loss = 0.0237 (0.171 sec/step)
INFO:tensorflow:global step 113193: loss = 0.0932 (0.172 sec/step)
I0724 06:06:46.619783 140531649939328 learning.py:512] global step 113193: loss = 0.0932 (0.172 sec/step)
INFO:tensorflow:global step 113194: loss = 0.0119 (0.160 sec/step)
I0724 06:06:46.781460 140531649939328 learning.py:512] global step 113194: loss = 0.0119 (0.160 sec/step)
INFO:tensorflow:global step 113195: loss = 0.0888 (0.159 sec/step)
I0724 06:06:46.942271 140531649939328 learning.py:512] global step 113195: loss = 0.0888 (0.159 sec/step)
INFO:tensorflow:global step 113196: loss = 0.0253 (0.159 sec/step)
I0724 06:06:47.102954 140531649939328 learning.py:512] global step 113196: loss = 0.0253 (0.159 sec/step)
INFO:tensorflow:global step 113197: loss = 0.0737 (0.163 sec/step)
I0724 06:06:47.267288 140531649939328 learning.py:512] global step 113197: loss = 0.0737 (0.163 sec/step)
INFO:tensorflow:global step 113198: loss = 0.0339 (0.160 sec/step)
I0724 06:06:47.428475 140531649939328 learning.py:512] global step 113198: loss = 0.0339 (0.160 sec/step)
INFO:tensorflow:global step 113199: loss = 0.0359 (0.151 sec/step)
I0724 06:06:47.580485 140531649939328 learning.py:512] global step 113199: loss = 0.0359 (0.151 sec/step)
INFO:tensorflow:global step 113200: loss = 0.1798 (0.172 sec/step)
I0724 06:06:47.753876 140531649939328 learning.py:512] global step 113200: loss = 0.1798 (0.172 sec/step)
INFO:tensorflow:global step 113201: loss = 0.0336 (0.172 sec/step)
I0724 06:06:47.927310 140531649939328 learning.py:512] global step 113201: loss = 0.0336 (0.172 sec/step)
INFO:tensorflow:global step 113202: loss = 0.0128 (0.176 sec/step)
I0724 06:06:48.105129 140531649939328 learning.py:512] global step 113202: loss = 0.0128 (0.176 sec/step)
INFO:tensorflow:global step 113203: loss = 0.0307 (0.152 sec/step)
I0724 06:06:48.258615 140531649939328 learning.py:512] global step 113203: loss = 0.0307 (0.152 sec/step)
INFO:tensorflow:global step 113204: loss = 0.0206 (0.161 sec/step)
I0724 06:06:48.421240 140531649939328 learning.py:512] global step 113204: loss = 0.0206 (0.161 sec/step)
INFO:tensorflow:global step 113205: loss = 0.0261 (0.154 sec/step)
I0724 06:06:48.577801 140531649939328 learning.py:512] global step 113205: loss = 0.0261 (0.154 sec/step)
INFO:tensorflow:global step 113206: loss = 0.0045 (0.149 sec/step)
I0724 06:06:48.728592 140531649939328 learning.py:512] global step 113206: loss = 0.0045 (0.149 sec/step)
INFO:tensorflow:global step 113207: loss = 0.0453 (0.170 sec/step)
I0724 06:06:48.899923 140531649939328 learning.py:512] global step 113207: loss = 0.0453 (0.170 sec/step)
INFO:tensorflow:global step 113208: loss = 0.0855 (0.161 sec/step)
I0724 06:06:49.062635 140531649939328 learning.py:512] global step 113208: loss = 0.0855 (0.161 sec/step)
INFO:tensorflow:global step 113209: loss = 0.0631 (0.173 sec/step)
I0724 06:06:49.237426 140531649939328 learning.py:512] global step 113209: loss = 0.0631 (0.173 sec/step)
INFO:tensorflow:global step 113210: loss = 0.0145 (0.174 sec/step)
I0724 06:06:49.412766 140531649939328 learning.py:512] global step 113210: loss = 0.0145 (0.174 sec/step)
INFO:tensorflow:global step 113211: loss = 0.0136 (0.168 sec/step)
I0724 06:06:49.582577 140531649939328 learning.py:512] global step 113211: loss = 0.0136 (0.168 sec/step)
INFO:tensorflow:global step 113212: loss = 0.0451 (0.177 sec/step)
I0724 06:06:49.763481 140531649939328 learning.py:512] global step 113212: loss = 0.0451 (0.177 sec/step)
INFO:tensorflow:global step 113213: loss = 0.0848 (0.164 sec/step)
I0724 06:06:49.928876 140531649939328 learning.py:512] global step 113213: loss = 0.0848 (0.164 sec/step)
INFO:tensorflow:global step 113214: loss = 0.0165 (0.154 sec/step)
I0724 06:06:50.084156 140531649939328 learning.py:512] global step 113214: loss = 0.0165 (0.154 sec/step)
INFO:tensorflow:global step 113215: loss = 0.0105 (0.158 sec/step)
I0724 06:06:50.243589 140531649939328 learning.py:512] global step 113215: loss = 0.0105 (0.158 sec/step)
INFO:tensorflow:global step 113216: loss = 0.0492 (0.162 sec/step)
I0724 06:06:50.407016 140531649939328 learning.py:512] global step 113216: loss = 0.0492 (0.162 sec/step)
INFO:tensorflow:global step 113217: loss = 0.0278 (0.161 sec/step)
I0724 06:06:50.568893 140531649939328 learning.py:512] global step 113217: loss = 0.0278 (0.161 sec/step)
INFO:tensorflow:global step 113218: loss = 0.1198 (0.163 sec/step)
I0724 06:06:50.732970 140531649939328 learning.py:512] global step 113218: loss = 0.1198 (0.163 sec/step)
INFO:tensorflow:global step 113219: loss = 0.0151 (0.164 sec/step)
I0724 06:06:50.898415 140531649939328 learning.py:512] global step 113219: loss = 0.0151 (0.164 sec/step)
INFO:tensorflow:global step 113220: loss = 0.0054 (0.166 sec/step)
I0724 06:06:51.065609 140531649939328 learning.py:512] global step 113220: loss = 0.0054 (0.166 sec/step)
INFO:tensorflow:global step 113221: loss = 0.0125 (0.164 sec/step)
I0724 06:06:51.231253 140531649939328 learning.py:512] global step 113221: loss = 0.0125 (0.164 sec/step)
INFO:tensorflow:global step 113222: loss = 0.0342 (0.161 sec/step)
I0724 06:06:51.394021 140531649939328 learning.py:512] global step 113222: loss = 0.0342 (0.161 sec/step)
INFO:tensorflow:global step 113223: loss = 0.0151 (0.168 sec/step)
I0724 06:06:51.563120 140531649939328 learning.py:512] global step 113223: loss = 0.0151 (0.168 sec/step)
INFO:tensorflow:global step 113224: loss = 0.0291 (0.164 sec/step)
I0724 06:06:51.728073 140531649939328 learning.py:512] global step 113224: loss = 0.0291 (0.164 sec/step)
INFO:tensorflow:global step 113225: loss = 0.0305 (0.158 sec/step)
I0724 06:06:51.887640 140531649939328 learning.py:512] global step 113225: loss = 0.0305 (0.158 sec/step)
INFO:tensorflow:global step 113226: loss = 0.0228 (0.165 sec/step)
I0724 06:06:52.054211 140531649939328 learning.py:512] global step 113226: loss = 0.0228 (0.165 sec/step)
INFO:tensorflow:global step 113227: loss = 0.0085 (0.168 sec/step)
I0724 06:06:52.223824 140531649939328 learning.py:512] global step 113227: loss = 0.0085 (0.168 sec/step)
INFO:tensorflow:global step 113228: loss = 0.0226 (0.181 sec/step)
I0724 06:06:52.406523 140531649939328 learning.py:512] global step 113228: loss = 0.0226 (0.181 sec/step)
INFO:tensorflow:global step 113229: loss = 0.0046 (0.156 sec/step)
I0724 06:06:52.564646 140531649939328 learning.py:512] global step 113229: loss = 0.0046 (0.156 sec/step)
INFO:tensorflow:global step 113230: loss = 0.0183 (0.158 sec/step)
I0724 06:06:52.724326 140531649939328 learning.py:512] global step 113230: loss = 0.0183 (0.158 sec/step)
INFO:tensorflow:global step 113231: loss = 0.0263 (0.163 sec/step)
I0724 06:06:52.889043 140531649939328 learning.py:512] global step 113231: loss = 0.0263 (0.163 sec/step)
INFO:tensorflow:global step 113232: loss = 0.0289 (0.285 sec/step)
I0724 06:06:53.176285 140531649939328 learning.py:512] global step 113232: loss = 0.0289 (0.285 sec/step)
INFO:tensorflow:global step 113233: loss = 0.0121 (0.266 sec/step)
I0724 06:06:53.444195 140531649939328 learning.py:512] global step 113233: loss = 0.0121 (0.266 sec/step)
INFO:tensorflow:global step 113234: loss = 0.0749 (0.210 sec/step)
I0724 06:06:53.656333 140531649939328 learning.py:512] global step 113234: loss = 0.0749 (0.210 sec/step)
INFO:tensorflow:global step 113235: loss = 0.0067 (0.173 sec/step)
I0724 06:06:53.830816 140531649939328 learning.py:512] global step 113235: loss = 0.0067 (0.173 sec/step)
INFO:tensorflow:global step 113236: loss = 0.0278 (0.163 sec/step)
I0724 06:06:53.995687 140531649939328 learning.py:512] global step 113236: loss = 0.0278 (0.163 sec/step)
INFO:tensorflow:global step 113237: loss = 0.0162 (0.148 sec/step)
I0724 06:06:54.145938 140531649939328 learning.py:512] global step 113237: loss = 0.0162 (0.148 sec/step)
INFO:tensorflow:global step 113238: loss = 0.1173 (0.166 sec/step)
I0724 06:06:54.313178 140531649939328 learning.py:512] global step 113238: loss = 0.1173 (0.166 sec/step)
INFO:tensorflow:global step 113239: loss = 0.0090 (0.164 sec/step)
I0724 06:06:54.478827 140531649939328 learning.py:512] global step 113239: loss = 0.0090 (0.164 sec/step)
INFO:tensorflow:global step 113240: loss = 0.0272 (0.155 sec/step)
I0724 06:06:54.634909 140531649939328 learning.py:512] global step 113240: loss = 0.0272 (0.155 sec/step)
INFO:tensorflow:global step 113241: loss = 0.1018 (0.170 sec/step)
I0724 06:06:54.806085 140531649939328 learning.py:512] global step 113241: loss = 0.1018 (0.170 sec/step)
INFO:tensorflow:global step 113242: loss = 0.1125 (0.158 sec/step)
I0724 06:06:54.965382 140531649939328 learning.py:512] global step 113242: loss = 0.1125 (0.158 sec/step)
INFO:tensorflow:global step 113243: loss = 0.0064 (0.170 sec/step)
I0724 06:06:55.137020 140531649939328 learning.py:512] global step 113243: loss = 0.0064 (0.170 sec/step)
INFO:tensorflow:global step 113244: loss = 0.1522 (0.158 sec/step)
I0724 06:06:55.296747 140531649939328 learning.py:512] global step 113244: loss = 0.1522 (0.158 sec/step)
INFO:tensorflow:global step 113245: loss = 0.0334 (0.169 sec/step)
I0724 06:06:55.468351 140531649939328 learning.py:512] global step 113245: loss = 0.0334 (0.169 sec/step)
INFO:tensorflow:global step 113246: loss = 0.0508 (0.176 sec/step)
I0724 06:06:55.645696 140531649939328 learning.py:512] global step 113246: loss = 0.0508 (0.176 sec/step)
INFO:tensorflow:global step 113247: loss = 0.0186 (0.183 sec/step)
I0724 06:06:55.829890 140531649939328 learning.py:512] global step 113247: loss = 0.0186 (0.183 sec/step)
INFO:tensorflow:global step 113248: loss = 0.0205 (0.172 sec/step)
I0724 06:06:56.003667 140531649939328 learning.py:512] global step 113248: loss = 0.0205 (0.172 sec/step)
INFO:tensorflow:global step 113249: loss = 0.0299 (0.159 sec/step)
I0724 06:06:56.163705 140531649939328 learning.py:512] global step 113249: loss = 0.0299 (0.159 sec/step)
INFO:tensorflow:global step 113250: loss = 0.0183 (0.150 sec/step)
I0724 06:06:56.314732 140531649939328 learning.py:512] global step 113250: loss = 0.0183 (0.150 sec/step)
INFO:tensorflow:global step 113251: loss = 0.0358 (0.160 sec/step)
I0724 06:06:56.475860 140531649939328 learning.py:512] global step 113251: loss = 0.0358 (0.160 sec/step)
INFO:tensorflow:global step 113252: loss = 0.0034 (0.151 sec/step)
I0724 06:06:56.628483 140531649939328 learning.py:512] global step 113252: loss = 0.0034 (0.151 sec/step)
INFO:tensorflow:global step 113253: loss = 0.0336 (0.170 sec/step)
I0724 06:06:56.800307 140531649939328 learning.py:512] global step 113253: loss = 0.0336 (0.170 sec/step)
INFO:tensorflow:global step 113254: loss = 0.0747 (0.182 sec/step)
I0724 06:06:56.986009 140531649939328 learning.py:512] global step 113254: loss = 0.0747 (0.182 sec/step)
INFO:tensorflow:global step 113255: loss = 0.0134 (0.154 sec/step)
I0724 06:06:57.140932 140531649939328 learning.py:512] global step 113255: loss = 0.0134 (0.154 sec/step)
INFO:tensorflow:global step 113256: loss = 0.0350 (0.160 sec/step)
I0724 06:06:57.302076 140531649939328 learning.py:512] global step 113256: loss = 0.0350 (0.160 sec/step)
INFO:tensorflow:global step 113257: loss = 0.0017 (0.163 sec/step)
I0724 06:06:57.467032 140531649939328 learning.py:512] global step 113257: loss = 0.0017 (0.163 sec/step)
INFO:tensorflow:global step 113258: loss = 0.0604 (0.173 sec/step)
I0724 06:06:57.641682 140531649939328 learning.py:512] global step 113258: loss = 0.0604 (0.173 sec/step)
INFO:tensorflow:global step 113259: loss = 0.0809 (0.159 sec/step)
I0724 06:06:57.801963 140531649939328 learning.py:512] global step 113259: loss = 0.0809 (0.159 sec/step)
INFO:tensorflow:global step 113260: loss = 0.0451 (0.173 sec/step)
I0724 06:06:57.976474 140531649939328 learning.py:512] global step 113260: loss = 0.0451 (0.173 sec/step)
INFO:tensorflow:global step 113261: loss = 0.0084 (0.159 sec/step)
I0724 06:06:58.137261 140531649939328 learning.py:512] global step 113261: loss = 0.0084 (0.159 sec/step)
INFO:tensorflow:global step 113262: loss = 0.0151 (0.158 sec/step)
I0724 06:06:58.296244 140531649939328 learning.py:512] global step 113262: loss = 0.0151 (0.158 sec/step)
INFO:tensorflow:global step 113263: loss = 0.1083 (0.176 sec/step)
I0724 06:06:58.474183 140531649939328 learning.py:512] global step 113263: loss = 0.1083 (0.176 sec/step)
INFO:tensorflow:global step 113264: loss = 0.0138 (0.175 sec/step)
I0724 06:06:58.650358 140531649939328 learning.py:512] global step 113264: loss = 0.0138 (0.175 sec/step)
INFO:tensorflow:global step 113265: loss = 0.0187 (0.140 sec/step)
I0724 06:06:58.791700 140531649939328 learning.py:512] global step 113265: loss = 0.0187 (0.140 sec/step)
INFO:tensorflow:global step 113266: loss = 0.0371 (0.161 sec/step)
I0724 06:06:58.953943 140531649939328 learning.py:512] global step 113266: loss = 0.0371 (0.161 sec/step)
INFO:tensorflow:global step 113267: loss = 0.0053 (0.139 sec/step)
I0724 06:06:59.094600 140531649939328 learning.py:512] global step 113267: loss = 0.0053 (0.139 sec/step)
INFO:tensorflow:global step 113268: loss = 0.0434 (0.156 sec/step)
I0724 06:06:59.252235 140531649939328 learning.py:512] global step 113268: loss = 0.0434 (0.156 sec/step)
INFO:tensorflow:global step 113269: loss = 0.0058 (0.162 sec/step)
I0724 06:06:59.416177 140531649939328 learning.py:512] global step 113269: loss = 0.0058 (0.162 sec/step)
INFO:tensorflow:global step 113270: loss = 0.0296 (0.154 sec/step)
I0724 06:06:59.571954 140531649939328 learning.py:512] global step 113270: loss = 0.0296 (0.154 sec/step)
INFO:tensorflow:global step 113271: loss = 0.0309 (0.155 sec/step)
I0724 06:06:59.728709 140531649939328 learning.py:512] global step 113271: loss = 0.0309 (0.155 sec/step)
INFO:tensorflow:global step 113272: loss = 0.0408 (0.157 sec/step)
I0724 06:06:59.887127 140531649939328 learning.py:512] global step 113272: loss = 0.0408 (0.157 sec/step)
INFO:tensorflow:global step 113273: loss = 0.0238 (0.160 sec/step)
I0724 06:07:00.048515 140531649939328 learning.py:512] global step 113273: loss = 0.0238 (0.160 sec/step)
INFO:tensorflow:global step 113274: loss = 0.0190 (0.162 sec/step)
I0724 06:07:00.212025 140531649939328 learning.py:512] global step 113274: loss = 0.0190 (0.162 sec/step)
INFO:tensorflow:global step 113275: loss = 0.0876 (0.171 sec/step)
I0724 06:07:00.384815 140531649939328 learning.py:512] global step 113275: loss = 0.0876 (0.171 sec/step)
INFO:tensorflow:global step 113276: loss = 0.0197 (0.163 sec/step)
I0724 06:07:00.549498 140531649939328 learning.py:512] global step 113276: loss = 0.0197 (0.163 sec/step)
INFO:tensorflow:global step 113277: loss = 0.0120 (0.158 sec/step)
I0724 06:07:00.709069 140531649939328 learning.py:512] global step 113277: loss = 0.0120 (0.158 sec/step)
INFO:tensorflow:global step 113278: loss = 0.0269 (0.169 sec/step)
I0724 06:07:00.879139 140531649939328 learning.py:512] global step 113278: loss = 0.0269 (0.169 sec/step)
INFO:tensorflow:global step 113279: loss = 0.0109 (0.161 sec/step)
I0724 06:07:01.041872 140531649939328 learning.py:512] global step 113279: loss = 0.0109 (0.161 sec/step)
INFO:tensorflow:global step 113280: loss = 0.0312 (0.165 sec/step)
I0724 06:07:01.208692 140531649939328 learning.py:512] global step 113280: loss = 0.0312 (0.165 sec/step)
INFO:tensorflow:global step 113281: loss = 0.0129 (0.170 sec/step)
I0724 06:07:01.380158 140531649939328 learning.py:512] global step 113281: loss = 0.0129 (0.170 sec/step)
INFO:tensorflow:global step 113282: loss = 0.0062 (0.174 sec/step)
I0724 06:07:01.555586 140531649939328 learning.py:512] global step 113282: loss = 0.0062 (0.174 sec/step)
INFO:tensorflow:global step 113283: loss = 0.0171 (0.165 sec/step)
I0724 06:07:01.722025 140531649939328 learning.py:512] global step 113283: loss = 0.0171 (0.165 sec/step)
INFO:tensorflow:global step 113284: loss = 0.0151 (0.167 sec/step)
I0724 06:07:01.890410 140531649939328 learning.py:512] global step 113284: loss = 0.0151 (0.167 sec/step)
INFO:tensorflow:global step 113285: loss = 0.0177 (0.179 sec/step)
I0724 06:07:02.070889 140531649939328 learning.py:512] global step 113285: loss = 0.0177 (0.179 sec/step)
INFO:tensorflow:global step 113286: loss = 0.0131 (0.139 sec/step)
I0724 06:07:02.211330 140531649939328 learning.py:512] global step 113286: loss = 0.0131 (0.139 sec/step)
INFO:tensorflow:global step 113287: loss = 0.0042 (0.174 sec/step)
I0724 06:07:02.386483 140531649939328 learning.py:512] global step 113287: loss = 0.0042 (0.174 sec/step)
INFO:tensorflow:global step 113288: loss = 0.0066 (0.148 sec/step)
I0724 06:07:02.535801 140531649939328 learning.py:512] global step 113288: loss = 0.0066 (0.148 sec/step)
INFO:tensorflow:global step 113289: loss = 0.0371 (0.159 sec/step)
I0724 06:07:02.695804 140531649939328 learning.py:512] global step 113289: loss = 0.0371 (0.159 sec/step)
INFO:tensorflow:global step 113290: loss = 0.0394 (0.152 sec/step)
I0724 06:07:02.849805 140531649939328 learning.py:512] global step 113290: loss = 0.0394 (0.152 sec/step)
INFO:tensorflow:global step 113291: loss = 0.0802 (0.176 sec/step)
I0724 06:07:03.027175 140531649939328 learning.py:512] global step 113291: loss = 0.0802 (0.176 sec/step)
INFO:tensorflow:global step 113292: loss = 0.0511 (0.164 sec/step)
I0724 06:07:03.192560 140531649939328 learning.py:512] global step 113292: loss = 0.0511 (0.164 sec/step)
INFO:tensorflow:global step 113293: loss = 0.0093 (0.165 sec/step)
I0724 06:07:03.359160 140531649939328 learning.py:512] global step 113293: loss = 0.0093 (0.165 sec/step)
INFO:tensorflow:global step 113294: loss = 0.0369 (0.167 sec/step)
I0724 06:07:03.527219 140531649939328 learning.py:512] global step 113294: loss = 0.0369 (0.167 sec/step)
INFO:tensorflow:global step 113295: loss = 0.0076 (0.163 sec/step)
I0724 06:07:03.691290 140531649939328 learning.py:512] global step 113295: loss = 0.0076 (0.163 sec/step)
INFO:tensorflow:global step 113296: loss = 0.0222 (0.157 sec/step)
I0724 06:07:03.849826 140531649939328 learning.py:512] global step 113296: loss = 0.0222 (0.157 sec/step)
INFO:tensorflow:global step 113297: loss = 0.0179 (0.176 sec/step)
I0724 06:07:04.027007 140531649939328 learning.py:512] global step 113297: loss = 0.0179 (0.176 sec/step)
INFO:tensorflow:global step 113298: loss = 0.0059 (0.162 sec/step)
I0724 06:07:04.189895 140531649939328 learning.py:512] global step 113298: loss = 0.0059 (0.162 sec/step)
INFO:tensorflow:global step 113299: loss = 0.0652 (0.182 sec/step)
I0724 06:07:04.373737 140531649939328 learning.py:512] global step 113299: loss = 0.0652 (0.182 sec/step)
INFO:tensorflow:global step 113300: loss = 0.0036 (0.152 sec/step)
I0724 06:07:04.527046 140531649939328 learning.py:512] global step 113300: loss = 0.0036 (0.152 sec/step)
INFO:tensorflow:global step 113301: loss = 0.0267 (0.163 sec/step)
I0724 06:07:04.691869 140531649939328 learning.py:512] global step 113301: loss = 0.0267 (0.163 sec/step)
INFO:tensorflow:global step 113302: loss = 0.0613 (0.161 sec/step)
I0724 06:07:04.854035 140531649939328 learning.py:512] global step 113302: loss = 0.0613 (0.161 sec/step)
INFO:tensorflow:global step 113303: loss = 0.0573 (0.149 sec/step)
I0724 06:07:05.005759 140531649939328 learning.py:512] global step 113303: loss = 0.0573 (0.149 sec/step)
INFO:tensorflow:global step 113304: loss = 0.0215 (0.169 sec/step)
I0724 06:07:05.177070 140531649939328 learning.py:512] global step 113304: loss = 0.0215 (0.169 sec/step)
INFO:tensorflow:global step 113305: loss = 0.0042 (0.141 sec/step)
I0724 06:07:05.319305 140531649939328 learning.py:512] global step 113305: loss = 0.0042 (0.141 sec/step)
INFO:tensorflow:global step 113306: loss = 0.0037 (0.158 sec/step)
I0724 06:07:05.478821 140531649939328 learning.py:512] global step 113306: loss = 0.0037 (0.158 sec/step)
INFO:tensorflow:global step 113307: loss = 0.0177 (0.159 sec/step)
I0724 06:07:05.639445 140531649939328 learning.py:512] global step 113307: loss = 0.0177 (0.159 sec/step)
INFO:tensorflow:global step 113308: loss = 0.0175 (0.160 sec/step)
I0724 06:07:05.800977 140531649939328 learning.py:512] global step 113308: loss = 0.0175 (0.160 sec/step)
INFO:tensorflow:global step 113309: loss = 0.0384 (0.159 sec/step)
I0724 06:07:05.961549 140531649939328 learning.py:512] global step 113309: loss = 0.0384 (0.159 sec/step)
INFO:tensorflow:global step 113310: loss = 0.0493 (0.158 sec/step)
I0724 06:07:06.120926 140531649939328 learning.py:512] global step 113310: loss = 0.0493 (0.158 sec/step)
INFO:tensorflow:global step 113311: loss = 0.0202 (0.164 sec/step)
I0724 06:07:06.285741 140531649939328 learning.py:512] global step 113311: loss = 0.0202 (0.164 sec/step)
INFO:tensorflow:global step 113312: loss = 0.0179 (0.157 sec/step)
I0724 06:07:06.444500 140531649939328 learning.py:512] global step 113312: loss = 0.0179 (0.157 sec/step)
INFO:tensorflow:global step 113313: loss = 0.0192 (0.154 sec/step)
I0724 06:07:06.599594 140531649939328 learning.py:512] global step 113313: loss = 0.0192 (0.154 sec/step)
INFO:tensorflow:global step 113314: loss = 0.0471 (0.156 sec/step)
I0724 06:07:06.757428 140531649939328 learning.py:512] global step 113314: loss = 0.0471 (0.156 sec/step)
INFO:tensorflow:global step 113315: loss = 0.0134 (0.148 sec/step)
I0724 06:07:06.906521 140531649939328 learning.py:512] global step 113315: loss = 0.0134 (0.148 sec/step)
INFO:tensorflow:global step 113316: loss = 0.0145 (0.159 sec/step)
I0724 06:07:07.068021 140531649939328 learning.py:512] global step 113316: loss = 0.0145 (0.159 sec/step)
INFO:tensorflow:global step 113317: loss = 0.0296 (0.154 sec/step)
I0724 06:07:07.223651 140531649939328 learning.py:512] global step 113317: loss = 0.0296 (0.154 sec/step)
INFO:tensorflow:global step 113318: loss = 0.0389 (0.158 sec/step)
I0724 06:07:07.383198 140531649939328 learning.py:512] global step 113318: loss = 0.0389 (0.158 sec/step)
INFO:tensorflow:global step 113319: loss = 0.0339 (0.176 sec/step)
I0724 06:07:07.560911 140531649939328 learning.py:512] global step 113319: loss = 0.0339 (0.176 sec/step)
INFO:tensorflow:global step 113320: loss = 0.0152 (0.164 sec/step)
I0724 06:07:07.726313 140531649939328 learning.py:512] global step 113320: loss = 0.0152 (0.164 sec/step)
INFO:tensorflow:global step 113321: loss = 0.0282 (0.166 sec/step)
I0724 06:07:07.894043 140531649939328 learning.py:512] global step 113321: loss = 0.0282 (0.166 sec/step)
INFO:tensorflow:global step 113322: loss = 0.0043 (0.163 sec/step)
I0724 06:07:08.058150 140531649939328 learning.py:512] global step 113322: loss = 0.0043 (0.163 sec/step)
INFO:tensorflow:global step 113323: loss = 0.0205 (0.178 sec/step)
I0724 06:07:08.237758 140531649939328 learning.py:512] global step 113323: loss = 0.0205 (0.178 sec/step)
INFO:tensorflow:global step 113324: loss = 0.0150 (0.170 sec/step)
I0724 06:07:08.409928 140531649939328 learning.py:512] global step 113324: loss = 0.0150 (0.170 sec/step)
INFO:tensorflow:global step 113325: loss = 0.0147 (0.156 sec/step)
I0724 06:07:08.567570 140531649939328 learning.py:512] global step 113325: loss = 0.0147 (0.156 sec/step)
INFO:tensorflow:global step 113326: loss = 0.0033 (0.163 sec/step)
I0724 06:07:08.731816 140531649939328 learning.py:512] global step 113326: loss = 0.0033 (0.163 sec/step)
INFO:tensorflow:global step 113327: loss = 0.1244 (0.150 sec/step)
I0724 06:07:08.882905 140531649939328 learning.py:512] global step 113327: loss = 0.1244 (0.150 sec/step)
INFO:tensorflow:global step 113328: loss = 0.0104 (0.157 sec/step)
I0724 06:07:09.041198 140531649939328 learning.py:512] global step 113328: loss = 0.0104 (0.157 sec/step)
INFO:tensorflow:global step 113329: loss = 0.0092 (0.174 sec/step)
I0724 06:07:09.216688 140531649939328 learning.py:512] global step 113329: loss = 0.0092 (0.174 sec/step)
INFO:tensorflow:global step 113330: loss = 0.0086 (0.145 sec/step)
I0724 06:07:09.363434 140531649939328 learning.py:512] global step 113330: loss = 0.0086 (0.145 sec/step)
INFO:tensorflow:global step 113331: loss = 0.0361 (0.157 sec/step)
I0724 06:07:09.521574 140531649939328 learning.py:512] global step 113331: loss = 0.0361 (0.157 sec/step)
INFO:tensorflow:global step 113332: loss = 0.0230 (0.155 sec/step)
I0724 06:07:09.677927 140531649939328 learning.py:512] global step 113332: loss = 0.0230 (0.155 sec/step)
INFO:tensorflow:global step 113333: loss = 0.0134 (0.151 sec/step)
I0724 06:07:09.830348 140531649939328 learning.py:512] global step 113333: loss = 0.0134 (0.151 sec/step)
INFO:tensorflow:global step 113334: loss = 0.0359 (0.152 sec/step)
I0724 06:07:09.983509 140531649939328 learning.py:512] global step 113334: loss = 0.0359 (0.152 sec/step)
INFO:tensorflow:global step 113335: loss = 0.0082 (0.152 sec/step)
I0724 06:07:10.137206 140531649939328 learning.py:512] global step 113335: loss = 0.0082 (0.152 sec/step)
INFO:tensorflow:global step 113336: loss = 0.0046 (0.153 sec/step)
I0724 06:07:10.291758 140531649939328 learning.py:512] global step 113336: loss = 0.0046 (0.153 sec/step)
INFO:tensorflow:global step 113337: loss = 0.0183 (0.159 sec/step)
I0724 06:07:10.452542 140531649939328 learning.py:512] global step 113337: loss = 0.0183 (0.159 sec/step)
INFO:tensorflow:global step 113338: loss = 0.0466 (0.163 sec/step)
I0724 06:07:10.617352 140531649939328 learning.py:512] global step 113338: loss = 0.0466 (0.163 sec/step)
INFO:tensorflow:global step 113339: loss = 0.0089 (0.158 sec/step)
I0724 06:07:10.776979 140531649939328 learning.py:512] global step 113339: loss = 0.0089 (0.158 sec/step)
INFO:tensorflow:global step 113340: loss = 0.0287 (0.173 sec/step)
I0724 06:07:10.951475 140531649939328 learning.py:512] global step 113340: loss = 0.0287 (0.173 sec/step)
INFO:tensorflow:global step 113341: loss = 0.0754 (0.156 sec/step)
I0724 06:07:11.109101 140531649939328 learning.py:512] global step 113341: loss = 0.0754 (0.156 sec/step)
INFO:tensorflow:global step 113342: loss = 0.0078 (0.161 sec/step)
I0724 06:07:11.271623 140531649939328 learning.py:512] global step 113342: loss = 0.0078 (0.161 sec/step)
INFO:tensorflow:global step 113343: loss = 0.0079 (0.171 sec/step)
I0724 06:07:11.443661 140531649939328 learning.py:512] global step 113343: loss = 0.0079 (0.171 sec/step)
INFO:tensorflow:global step 113344: loss = 0.0291 (0.174 sec/step)
I0724 06:07:11.619442 140531649939328 learning.py:512] global step 113344: loss = 0.0291 (0.174 sec/step)
INFO:tensorflow:global step 113345: loss = 0.0310 (0.162 sec/step)
I0724 06:07:11.782390 140531649939328 learning.py:512] global step 113345: loss = 0.0310 (0.162 sec/step)
INFO:tensorflow:global step 113346: loss = 0.0131 (0.163 sec/step)
I0724 06:07:11.946815 140531649939328 learning.py:512] global step 113346: loss = 0.0131 (0.163 sec/step)
INFO:tensorflow:global step 113347: loss = 0.1007 (0.146 sec/step)
I0724 06:07:12.094457 140531649939328 learning.py:512] global step 113347: loss = 0.1007 (0.146 sec/step)
INFO:tensorflow:global step 113348: loss = 0.0343 (0.170 sec/step)
I0724 06:07:12.265771 140531649939328 learning.py:512] global step 113348: loss = 0.0343 (0.170 sec/step)
INFO:tensorflow:global step 113349: loss = 0.1771 (0.157 sec/step)
I0724 06:07:12.424044 140531649939328 learning.py:512] global step 113349: loss = 0.1771 (0.157 sec/step)
INFO:tensorflow:global step 113350: loss = 0.0187 (0.155 sec/step)
I0724 06:07:12.580714 140531649939328 learning.py:512] global step 113350: loss = 0.0187 (0.155 sec/step)
INFO:tensorflow:global step 113351: loss = 0.0032 (0.168 sec/step)
I0724 06:07:12.750629 140531649939328 learning.py:512] global step 113351: loss = 0.0032 (0.168 sec/step)
INFO:tensorflow:global step 113352: loss = 0.0223 (0.150 sec/step)
I0724 06:07:12.901712 140531649939328 learning.py:512] global step 113352: loss = 0.0223 (0.150 sec/step)
INFO:tensorflow:global step 113353: loss = 0.0168 (0.152 sec/step)
I0724 06:07:13.055062 140531649939328 learning.py:512] global step 113353: loss = 0.0168 (0.152 sec/step)
INFO:tensorflow:global step 113354: loss = 0.0460 (0.154 sec/step)
I0724 06:07:13.210755 140531649939328 learning.py:512] global step 113354: loss = 0.0460 (0.154 sec/step)
INFO:tensorflow:global step 113355: loss = 0.0211 (0.183 sec/step)
I0724 06:07:13.398596 140531649939328 learning.py:512] global step 113355: loss = 0.0211 (0.183 sec/step)
INFO:tensorflow:global step 113356: loss = 0.0228 (0.144 sec/step)
I0724 06:07:13.545601 140531649939328 learning.py:512] global step 113356: loss = 0.0228 (0.144 sec/step)
INFO:tensorflow:global step 113357: loss = 0.0108 (0.150 sec/step)
I0724 06:07:13.697205 140531649939328 learning.py:512] global step 113357: loss = 0.0108 (0.150 sec/step)
INFO:tensorflow:global step 113358: loss = 0.0148 (0.156 sec/step)
I0724 06:07:13.854167 140531649939328 learning.py:512] global step 113358: loss = 0.0148 (0.156 sec/step)
INFO:tensorflow:global step 113359: loss = 0.0371 (0.148 sec/step)
I0724 06:07:14.003594 140531649939328 learning.py:512] global step 113359: loss = 0.0371 (0.148 sec/step)
INFO:tensorflow:global step 113360: loss = 0.0319 (0.172 sec/step)
I0724 06:07:14.176577 140531649939328 learning.py:512] global step 113360: loss = 0.0319 (0.172 sec/step)
INFO:tensorflow:global step 113361: loss = 0.0102 (0.163 sec/step)
I0724 06:07:14.340812 140531649939328 learning.py:512] global step 113361: loss = 0.0102 (0.163 sec/step)
INFO:tensorflow:global step 113362: loss = 0.0319 (0.159 sec/step)
I0724 06:07:14.500951 140531649939328 learning.py:512] global step 113362: loss = 0.0319 (0.159 sec/step)
INFO:tensorflow:global step 113363: loss = 0.0401 (0.149 sec/step)
I0724 06:07:14.650961 140531649939328 learning.py:512] global step 113363: loss = 0.0401 (0.149 sec/step)
INFO:tensorflow:global step 113364: loss = 0.2466 (0.160 sec/step)
I0724 06:07:14.812031 140531649939328 learning.py:512] global step 113364: loss = 0.2466 (0.160 sec/step)
INFO:tensorflow:global step 113365: loss = 0.0541 (0.154 sec/step)
I0724 06:07:14.967071 140531649939328 learning.py:512] global step 113365: loss = 0.0541 (0.154 sec/step)
INFO:tensorflow:global step 113366: loss = 0.0142 (0.161 sec/step)
I0724 06:07:15.128976 140531649939328 learning.py:512] global step 113366: loss = 0.0142 (0.161 sec/step)
INFO:tensorflow:global step 113367: loss = 0.0135 (0.166 sec/step)
I0724 06:07:15.296123 140531649939328 learning.py:512] global step 113367: loss = 0.0135 (0.166 sec/step)
INFO:tensorflow:global step 113368: loss = 0.0043 (0.168 sec/step)
I0724 06:07:15.465259 140531649939328 learning.py:512] global step 113368: loss = 0.0043 (0.168 sec/step)
INFO:tensorflow:global step 113369: loss = 0.0287 (0.157 sec/step)
I0724 06:07:15.623701 140531649939328 learning.py:512] global step 113369: loss = 0.0287 (0.157 sec/step)
INFO:tensorflow:global step 113370: loss = 0.0279 (0.150 sec/step)
I0724 06:07:15.775473 140531649939328 learning.py:512] global step 113370: loss = 0.0279 (0.150 sec/step)
INFO:tensorflow:global step 113371: loss = 0.0631 (0.171 sec/step)
I0724 06:07:15.947580 140531649939328 learning.py:512] global step 113371: loss = 0.0631 (0.171 sec/step)
INFO:tensorflow:global step 113372: loss = 0.0364 (0.154 sec/step)
I0724 06:07:16.102779 140531649939328 learning.py:512] global step 113372: loss = 0.0364 (0.154 sec/step)
INFO:tensorflow:global step 113373: loss = 0.0290 (0.163 sec/step)
I0724 06:07:16.267034 140531649939328 learning.py:512] global step 113373: loss = 0.0290 (0.163 sec/step)
INFO:tensorflow:global step 113374: loss = 0.0110 (0.183 sec/step)
I0724 06:07:16.451677 140531649939328 learning.py:512] global step 113374: loss = 0.0110 (0.183 sec/step)
INFO:tensorflow:global step 113375: loss = 0.0393 (0.163 sec/step)
I0724 06:07:16.616410 140531649939328 learning.py:512] global step 113375: loss = 0.0393 (0.163 sec/step)
INFO:tensorflow:global step 113376: loss = 0.0598 (0.154 sec/step)
I0724 06:07:16.771549 140531649939328 learning.py:512] global step 113376: loss = 0.0598 (0.154 sec/step)
INFO:tensorflow:global step 113377: loss = 0.1357 (0.164 sec/step)
I0724 06:07:16.936665 140531649939328 learning.py:512] global step 113377: loss = 0.1357 (0.164 sec/step)
INFO:tensorflow:global step 113378: loss = 0.0306 (0.169 sec/step)
I0724 06:07:17.107000 140531649939328 learning.py:512] global step 113378: loss = 0.0306 (0.169 sec/step)
INFO:tensorflow:global step 113379: loss = 0.0074 (0.167 sec/step)
I0724 06:07:17.275820 140531649939328 learning.py:512] global step 113379: loss = 0.0074 (0.167 sec/step)
INFO:tensorflow:global step 113380: loss = 0.0274 (0.162 sec/step)
I0724 06:07:17.439126 140531649939328 learning.py:512] global step 113380: loss = 0.0274 (0.162 sec/step)
INFO:tensorflow:global step 113381: loss = 0.0103 (0.161 sec/step)
I0724 06:07:17.601377 140531649939328 learning.py:512] global step 113381: loss = 0.0103 (0.161 sec/step)
INFO:tensorflow:global step 113382: loss = 0.0095 (0.152 sec/step)
I0724 06:07:17.754879 140531649939328 learning.py:512] global step 113382: loss = 0.0095 (0.152 sec/step)
INFO:tensorflow:global step 113383: loss = 0.0287 (0.172 sec/step)
I0724 06:07:17.928967 140531649939328 learning.py:512] global step 113383: loss = 0.0287 (0.172 sec/step)
INFO:tensorflow:global step 113384: loss = 0.1041 (0.174 sec/step)
I0724 06:07:18.104351 140531649939328 learning.py:512] global step 113384: loss = 0.1041 (0.174 sec/step)
INFO:tensorflow:global step 113385: loss = 0.0129 (0.176 sec/step)
I0724 06:07:18.281832 140531649939328 learning.py:512] global step 113385: loss = 0.0129 (0.176 sec/step)
INFO:tensorflow:global step 113386: loss = 0.0889 (0.174 sec/step)
I0724 06:07:18.457420 140531649939328 learning.py:512] global step 113386: loss = 0.0889 (0.174 sec/step)
INFO:tensorflow:global step 113387: loss = 0.1058 (0.150 sec/step)
I0724 06:07:18.609038 140531649939328 learning.py:512] global step 113387: loss = 0.1058 (0.150 sec/step)
INFO:tensorflow:global step 113388: loss = 0.0362 (0.165 sec/step)
I0724 06:07:18.775955 140531649939328 learning.py:512] global step 113388: loss = 0.0362 (0.165 sec/step)
INFO:tensorflow:global step 113389: loss = 0.0180 (0.161 sec/step)
I0724 06:07:18.938321 140531649939328 learning.py:512] global step 113389: loss = 0.0180 (0.161 sec/step)
INFO:tensorflow:global step 113390: loss = 0.0702 (0.153 sec/step)
I0724 06:07:19.092945 140531649939328 learning.py:512] global step 113390: loss = 0.0702 (0.153 sec/step)
INFO:tensorflow:global step 113391: loss = 0.0239 (0.168 sec/step)
I0724 06:07:19.262327 140531649939328 learning.py:512] global step 113391: loss = 0.0239 (0.168 sec/step)
INFO:tensorflow:global step 113392: loss = 0.0352 (0.163 sec/step)
I0724 06:07:19.426314 140531649939328 learning.py:512] global step 113392: loss = 0.0352 (0.163 sec/step)
INFO:tensorflow:global step 113393: loss = 0.0100 (0.162 sec/step)
I0724 06:07:19.589413 140531649939328 learning.py:512] global step 113393: loss = 0.0100 (0.162 sec/step)
INFO:tensorflow:global step 113394: loss = 0.0183 (0.168 sec/step)
I0724 06:07:19.759223 140531649939328 learning.py:512] global step 113394: loss = 0.0183 (0.168 sec/step)
INFO:tensorflow:global step 113395: loss = 0.0459 (0.163 sec/step)
I0724 06:07:19.923348 140531649939328 learning.py:512] global step 113395: loss = 0.0459 (0.163 sec/step)
INFO:tensorflow:global step 113396: loss = 0.0696 (0.166 sec/step)
I0724 06:07:20.090574 140531649939328 learning.py:512] global step 113396: loss = 0.0696 (0.166 sec/step)
INFO:tensorflow:global step 113397: loss = 0.0276 (0.165 sec/step)
I0724 06:07:20.256666 140531649939328 learning.py:512] global step 113397: loss = 0.0276 (0.165 sec/step)
INFO:tensorflow:global step 113398: loss = 0.0376 (0.158 sec/step)
I0724 06:07:20.417620 140531649939328 learning.py:512] global step 113398: loss = 0.0376 (0.158 sec/step)
INFO:tensorflow:global step 113399: loss = 0.0233 (0.144 sec/step)
I0724 06:07:20.562980 140531649939328 learning.py:512] global step 113399: loss = 0.0233 (0.144 sec/step)
INFO:tensorflow:global step 113400: loss = 0.2028 (0.167 sec/step)
I0724 06:07:20.731753 140531649939328 learning.py:512] global step 113400: loss = 0.2028 (0.167 sec/step)
INFO:tensorflow:global step 113401: loss = 0.0329 (0.158 sec/step)
I0724 06:07:20.891413 140531649939328 learning.py:512] global step 113401: loss = 0.0329 (0.158 sec/step)
INFO:tensorflow:global step 113402: loss = 0.0134 (0.180 sec/step)
I0724 06:07:21.073454 140531649939328 learning.py:512] global step 113402: loss = 0.0134 (0.180 sec/step)
INFO:tensorflow:global step 113403: loss = 0.0513 (0.233 sec/step)
I0724 06:07:21.308649 140531649939328 learning.py:512] global step 113403: loss = 0.0513 (0.233 sec/step)
INFO:tensorflow:global step 113404: loss = 0.0180 (0.186 sec/step)
I0724 06:07:21.496416 140531649939328 learning.py:512] global step 113404: loss = 0.0180 (0.186 sec/step)
INFO:tensorflow:global step 113405: loss = 0.0337 (0.176 sec/step)
I0724 06:07:21.673731 140531649939328 learning.py:512] global step 113405: loss = 0.0337 (0.176 sec/step)
INFO:tensorflow:global step 113406: loss = 0.0776 (0.152 sec/step)
I0724 06:07:21.826761 140531649939328 learning.py:512] global step 113406: loss = 0.0776 (0.152 sec/step)
INFO:tensorflow:global step 113407: loss = 0.0293 (0.152 sec/step)
I0724 06:07:21.980217 140531649939328 learning.py:512] global step 113407: loss = 0.0293 (0.152 sec/step)
INFO:tensorflow:global step 113408: loss = 0.0197 (0.170 sec/step)
I0724 06:07:22.151569 140531649939328 learning.py:512] global step 113408: loss = 0.0197 (0.170 sec/step)
INFO:tensorflow:global step 113409: loss = 0.0589 (0.152 sec/step)
I0724 06:07:22.304792 140531649939328 learning.py:512] global step 113409: loss = 0.0589 (0.152 sec/step)
INFO:tensorflow:global step 113410: loss = 0.0506 (0.147 sec/step)
I0724 06:07:22.453514 140531649939328 learning.py:512] global step 113410: loss = 0.0506 (0.147 sec/step)
INFO:tensorflow:global step 113411: loss = 0.0499 (0.152 sec/step)
I0724 06:07:22.607344 140531649939328 learning.py:512] global step 113411: loss = 0.0499 (0.152 sec/step)
INFO:tensorflow:global step 113412: loss = 0.0083 (0.155 sec/step)
I0724 06:07:22.763683 140531649939328 learning.py:512] global step 113412: loss = 0.0083 (0.155 sec/step)
INFO:tensorflow:global step 113413: loss = 0.0660 (0.172 sec/step)
I0724 06:07:22.937063 140531649939328 learning.py:512] global step 113413: loss = 0.0660 (0.172 sec/step)
INFO:tensorflow:global step 113414: loss = 0.0187 (0.151 sec/step)
I0724 06:07:23.089214 140531649939328 learning.py:512] global step 113414: loss = 0.0187 (0.151 sec/step)
INFO:tensorflow:global step 113415: loss = 0.0447 (0.159 sec/step)
I0724 06:07:23.249289 140531649939328 learning.py:512] global step 113415: loss = 0.0447 (0.159 sec/step)
INFO:tensorflow:global step 113416: loss = 0.0349 (0.172 sec/step)
I0724 06:07:23.422367 140531649939328 learning.py:512] global step 113416: loss = 0.0349 (0.172 sec/step)
INFO:tensorflow:global step 113417: loss = 0.2527 (0.180 sec/step)
I0724 06:07:23.604252 140531649939328 learning.py:512] global step 113417: loss = 0.2527 (0.180 sec/step)
INFO:tensorflow:global step 113418: loss = 0.0361 (0.171 sec/step)
I0724 06:07:23.777346 140531649939328 learning.py:512] global step 113418: loss = 0.0361 (0.171 sec/step)
INFO:tensorflow:global step 113419: loss = 0.0241 (0.256 sec/step)
I0724 06:07:24.035506 140531649939328 learning.py:512] global step 113419: loss = 0.0241 (0.256 sec/step)
INFO:tensorflow:global step 113420: loss = 0.0872 (0.202 sec/step)
I0724 06:07:24.239037 140531649939328 learning.py:512] global step 113420: loss = 0.0872 (0.202 sec/step)
INFO:tensorflow:global step 113421: loss = 0.0052 (0.206 sec/step)
I0724 06:07:24.447064 140531649939328 learning.py:512] global step 113421: loss = 0.0052 (0.206 sec/step)
INFO:tensorflow:global step 113422: loss = 0.0392 (0.263 sec/step)
I0724 06:07:24.711612 140531649939328 learning.py:512] global step 113422: loss = 0.0392 (0.263 sec/step)
INFO:tensorflow:global step 113423: loss = 0.0308 (0.179 sec/step)
I0724 06:07:24.892325 140531649939328 learning.py:512] global step 113423: loss = 0.0308 (0.179 sec/step)
INFO:tensorflow:global step 113424: loss = 0.0427 (0.159 sec/step)
I0724 06:07:25.053851 140531649939328 learning.py:512] global step 113424: loss = 0.0427 (0.159 sec/step)
INFO:tensorflow:global step 113425: loss = 0.0151 (0.167 sec/step)
I0724 06:07:25.221609 140531649939328 learning.py:512] global step 113425: loss = 0.0151 (0.167 sec/step)
INFO:tensorflow:global step 113426: loss = 0.0166 (0.169 sec/step)
I0724 06:07:25.392363 140531649939328 learning.py:512] global step 113426: loss = 0.0166 (0.169 sec/step)
INFO:tensorflow:global step 113427: loss = 0.0078 (0.173 sec/step)
I0724 06:07:25.569429 140531649939328 learning.py:512] global step 113427: loss = 0.0078 (0.173 sec/step)
INFO:tensorflow:global step 113428: loss = 0.0308 (0.210 sec/step)
I0724 06:07:25.783056 140531649939328 learning.py:512] global step 113428: loss = 0.0308 (0.210 sec/step)
INFO:tensorflow:global step 113429: loss = 0.0317 (0.178 sec/step)
I0724 06:07:25.962330 140531649939328 learning.py:512] global step 113429: loss = 0.0317 (0.178 sec/step)
INFO:tensorflow:global step 113430: loss = 0.0371 (0.168 sec/step)
I0724 06:07:26.131214 140531649939328 learning.py:512] global step 113430: loss = 0.0371 (0.168 sec/step)
INFO:tensorflow:global step 113431: loss = 0.0321 (0.163 sec/step)
I0724 06:07:26.296305 140531649939328 learning.py:512] global step 113431: loss = 0.0321 (0.163 sec/step)
INFO:tensorflow:global step 113432: loss = 0.0117 (0.181 sec/step)
I0724 06:07:26.479176 140531649939328 learning.py:512] global step 113432: loss = 0.0117 (0.181 sec/step)
INFO:tensorflow:global step 113433: loss = 0.0318 (0.170 sec/step)
I0724 06:07:26.650587 140531649939328 learning.py:512] global step 113433: loss = 0.0318 (0.170 sec/step)
INFO:tensorflow:global step 113434: loss = 0.0479 (0.174 sec/step)
I0724 06:07:26.825597 140531649939328 learning.py:512] global step 113434: loss = 0.0479 (0.174 sec/step)
INFO:tensorflow:global step 113435: loss = 0.0056 (0.167 sec/step)
I0724 06:07:26.994320 140531649939328 learning.py:512] global step 113435: loss = 0.0056 (0.167 sec/step)
INFO:tensorflow:global step 113436: loss = 0.0225 (0.170 sec/step)
I0724 06:07:27.166301 140531649939328 learning.py:512] global step 113436: loss = 0.0225 (0.170 sec/step)
INFO:tensorflow:global step 113437: loss = 0.1771 (0.160 sec/step)
I0724 06:07:27.328218 140531649939328 learning.py:512] global step 113437: loss = 0.1771 (0.160 sec/step)
INFO:tensorflow:global step 113438: loss = 0.0146 (0.159 sec/step)
I0724 06:07:27.488930 140531649939328 learning.py:512] global step 113438: loss = 0.0146 (0.159 sec/step)
INFO:tensorflow:global step 113439: loss = 0.0345 (0.160 sec/step)
I0724 06:07:27.650245 140531649939328 learning.py:512] global step 113439: loss = 0.0345 (0.160 sec/step)
INFO:tensorflow:global step 113440: loss = 0.0236 (0.156 sec/step)
I0724 06:07:27.808206 140531649939328 learning.py:512] global step 113440: loss = 0.0236 (0.156 sec/step)
INFO:tensorflow:global step 113441: loss = 0.0425 (0.166 sec/step)
I0724 06:07:27.975709 140531649939328 learning.py:512] global step 113441: loss = 0.0425 (0.166 sec/step)
INFO:tensorflow:global step 113442: loss = 0.0670 (0.161 sec/step)
I0724 06:07:28.137890 140531649939328 learning.py:512] global step 113442: loss = 0.0670 (0.161 sec/step)
INFO:tensorflow:global step 113443: loss = 0.1100 (0.151 sec/step)
I0724 06:07:28.290453 140531649939328 learning.py:512] global step 113443: loss = 0.1100 (0.151 sec/step)
INFO:tensorflow:global step 113444: loss = 0.0535 (0.180 sec/step)
I0724 06:07:28.471601 140531649939328 learning.py:512] global step 113444: loss = 0.0535 (0.180 sec/step)
INFO:tensorflow:global step 113445: loss = 0.0112 (0.143 sec/step)
I0724 06:07:28.616353 140531649939328 learning.py:512] global step 113445: loss = 0.0112 (0.143 sec/step)
INFO:tensorflow:global step 113446: loss = 0.0284 (0.179 sec/step)
I0724 06:07:28.796704 140531649939328 learning.py:512] global step 113446: loss = 0.0284 (0.179 sec/step)
INFO:tensorflow:global step 113447: loss = 0.0186 (0.173 sec/step)
I0724 06:07:28.971183 140531649939328 learning.py:512] global step 113447: loss = 0.0186 (0.173 sec/step)
INFO:tensorflow:global step 113448: loss = 0.0339 (0.140 sec/step)
I0724 06:07:29.112066 140531649939328 learning.py:512] global step 113448: loss = 0.0339 (0.140 sec/step)
INFO:tensorflow:global step 113449: loss = 0.0179 (0.161 sec/step)
I0724 06:07:29.274729 140531649939328 learning.py:512] global step 113449: loss = 0.0179 (0.161 sec/step)
INFO:tensorflow:global step 113450: loss = 0.0378 (0.155 sec/step)
I0724 06:07:29.430683 140531649939328 learning.py:512] global step 113450: loss = 0.0378 (0.155 sec/step)
INFO:tensorflow:global step 113451: loss = 0.0256 (0.141 sec/step)
I0724 06:07:29.572965 140531649939328 learning.py:512] global step 113451: loss = 0.0256 (0.141 sec/step)
INFO:tensorflow:global step 113452: loss = 0.0056 (0.188 sec/step)
I0724 06:07:29.762499 140531649939328 learning.py:512] global step 113452: loss = 0.0056 (0.188 sec/step)
INFO:tensorflow:global step 113453: loss = 0.0431 (0.161 sec/step)
I0724 06:07:29.925118 140531649939328 learning.py:512] global step 113453: loss = 0.0431 (0.161 sec/step)
INFO:tensorflow:global step 113454: loss = 0.0964 (0.167 sec/step)
I0724 06:07:30.093010 140531649939328 learning.py:512] global step 113454: loss = 0.0964 (0.167 sec/step)
INFO:tensorflow:global step 113455: loss = 0.1125 (0.153 sec/step)
I0724 06:07:30.247225 140531649939328 learning.py:512] global step 113455: loss = 0.1125 (0.153 sec/step)
INFO:tensorflow:global step 113456: loss = 0.1554 (0.145 sec/step)
I0724 06:07:30.393471 140531649939328 learning.py:512] global step 113456: loss = 0.1554 (0.145 sec/step)
INFO:tensorflow:global step 113457: loss = 0.0529 (0.167 sec/step)
I0724 06:07:30.562064 140531649939328 learning.py:512] global step 113457: loss = 0.0529 (0.167 sec/step)
INFO:tensorflow:global step 113458: loss = 0.0747 (0.168 sec/step)
I0724 06:07:30.731297 140531649939328 learning.py:512] global step 113458: loss = 0.0747 (0.168 sec/step)
INFO:tensorflow:global step 113459: loss = 0.0154 (0.173 sec/step)
I0724 06:07:30.906276 140531649939328 learning.py:512] global step 113459: loss = 0.0154 (0.173 sec/step)
INFO:tensorflow:global step 113460: loss = 0.0984 (0.155 sec/step)
I0724 06:07:31.062971 140531649939328 learning.py:512] global step 113460: loss = 0.0984 (0.155 sec/step)
INFO:tensorflow:global step 113461: loss = 0.1489 (0.149 sec/step)
I0724 06:07:31.213460 140531649939328 learning.py:512] global step 113461: loss = 0.1489 (0.149 sec/step)
INFO:tensorflow:global step 113462: loss = 0.0044 (0.165 sec/step)
I0724 06:07:31.380105 140531649939328 learning.py:512] global step 113462: loss = 0.0044 (0.165 sec/step)
INFO:tensorflow:global step 113463: loss = 0.0384 (0.139 sec/step)
I0724 06:07:31.520617 140531649939328 learning.py:512] global step 113463: loss = 0.0384 (0.139 sec/step)
INFO:tensorflow:global step 113464: loss = 0.0051 (0.156 sec/step)
I0724 06:07:31.677656 140531649939328 learning.py:512] global step 113464: loss = 0.0051 (0.156 sec/step)
INFO:tensorflow:global step 113465: loss = 0.0256 (0.164 sec/step)
I0724 06:07:31.843190 140531649939328 learning.py:512] global step 113465: loss = 0.0256 (0.164 sec/step)
INFO:tensorflow:global step 113466: loss = 0.0204 (0.161 sec/step)
I0724 06:07:32.006112 140531649939328 learning.py:512] global step 113466: loss = 0.0204 (0.161 sec/step)
INFO:tensorflow:global step 113467: loss = 0.0396 (0.158 sec/step)
I0724 06:07:32.165332 140531649939328 learning.py:512] global step 113467: loss = 0.0396 (0.158 sec/step)
INFO:tensorflow:global step 113468: loss = 0.0448 (0.156 sec/step)
I0724 06:07:32.323240 140531649939328 learning.py:512] global step 113468: loss = 0.0448 (0.156 sec/step)
INFO:tensorflow:global step 113469: loss = 0.0160 (0.159 sec/step)
I0724 06:07:32.483700 140531649939328 learning.py:512] global step 113469: loss = 0.0160 (0.159 sec/step)
INFO:tensorflow:global step 113470: loss = 0.0222 (0.170 sec/step)
I0724 06:07:32.654799 140531649939328 learning.py:512] global step 113470: loss = 0.0222 (0.170 sec/step)
INFO:tensorflow:global step 113471: loss = 0.0505 (0.171 sec/step)
I0724 06:07:32.827424 140531649939328 learning.py:512] global step 113471: loss = 0.0505 (0.171 sec/step)
INFO:tensorflow:global step 113472: loss = 0.0426 (0.164 sec/step)
I0724 06:07:32.992532 140531649939328 learning.py:512] global step 113472: loss = 0.0426 (0.164 sec/step)
INFO:tensorflow:global step 113473: loss = 0.0217 (0.162 sec/step)
I0724 06:07:33.156115 140531649939328 learning.py:512] global step 113473: loss = 0.0217 (0.162 sec/step)
INFO:tensorflow:global step 113474: loss = 0.0282 (0.151 sec/step)
I0724 06:07:33.308282 140531649939328 learning.py:512] global step 113474: loss = 0.0282 (0.151 sec/step)
INFO:tensorflow:global step 113475: loss = 0.0354 (0.174 sec/step)
I0724 06:07:33.483609 140531649939328 learning.py:512] global step 113475: loss = 0.0354 (0.174 sec/step)
INFO:tensorflow:global step 113476: loss = 0.0408 (0.161 sec/step)
I0724 06:07:33.645686 140531649939328 learning.py:512] global step 113476: loss = 0.0408 (0.161 sec/step)
INFO:tensorflow:global step 113477: loss = 0.0173 (0.160 sec/step)
I0724 06:07:33.807354 140531649939328 learning.py:512] global step 113477: loss = 0.0173 (0.160 sec/step)
INFO:tensorflow:global step 113478: loss = 0.0531 (0.167 sec/step)
I0724 06:07:33.976005 140531649939328 learning.py:512] global step 113478: loss = 0.0531 (0.167 sec/step)
INFO:tensorflow:global step 113479: loss = 0.0261 (0.168 sec/step)
I0724 06:07:34.145131 140531649939328 learning.py:512] global step 113479: loss = 0.0261 (0.168 sec/step)
INFO:tensorflow:global step 113480: loss = 0.0146 (0.143 sec/step)
I0724 06:07:34.289953 140531649939328 learning.py:512] global step 113480: loss = 0.0146 (0.143 sec/step)
INFO:tensorflow:global step 113481: loss = 0.0427 (0.162 sec/step)
I0724 06:07:34.453001 140531649939328 learning.py:512] global step 113481: loss = 0.0427 (0.162 sec/step)
INFO:tensorflow:global step 113482: loss = 0.0428 (0.147 sec/step)
I0724 06:07:34.601783 140531649939328 learning.py:512] global step 113482: loss = 0.0428 (0.147 sec/step)
INFO:tensorflow:global step 113483: loss = 0.0207 (0.175 sec/step)
I0724 06:07:34.778354 140531649939328 learning.py:512] global step 113483: loss = 0.0207 (0.175 sec/step)
INFO:tensorflow:global step 113484: loss = 0.0149 (0.166 sec/step)
I0724 06:07:34.946022 140531649939328 learning.py:512] global step 113484: loss = 0.0149 (0.166 sec/step)
INFO:tensorflow:global step 113485: loss = 0.0144 (0.155 sec/step)
I0724 06:07:35.102227 140531649939328 learning.py:512] global step 113485: loss = 0.0144 (0.155 sec/step)
INFO:tensorflow:global step 113486: loss = 0.0151 (0.155 sec/step)
I0724 06:07:35.258932 140531649939328 learning.py:512] global step 113486: loss = 0.0151 (0.155 sec/step)
INFO:tensorflow:global step 113487: loss = 0.0272 (0.159 sec/step)
I0724 06:07:35.419529 140531649939328 learning.py:512] global step 113487: loss = 0.0272 (0.159 sec/step)
INFO:tensorflow:global step 113488: loss = 0.0172 (0.154 sec/step)
I0724 06:07:35.574798 140531649939328 learning.py:512] global step 113488: loss = 0.0172 (0.154 sec/step)
INFO:tensorflow:global step 113489: loss = 0.0092 (0.162 sec/step)
I0724 06:07:35.738188 140531649939328 learning.py:512] global step 113489: loss = 0.0092 (0.162 sec/step)
INFO:tensorflow:global step 113490: loss = 0.0273 (0.180 sec/step)
I0724 06:07:35.919990 140531649939328 learning.py:512] global step 113490: loss = 0.0273 (0.180 sec/step)
INFO:tensorflow:global step 113491: loss = 0.0215 (0.151 sec/step)
I0724 06:07:36.072664 140531649939328 learning.py:512] global step 113491: loss = 0.0215 (0.151 sec/step)
INFO:tensorflow:global step 113492: loss = 0.0288 (0.156 sec/step)
I0724 06:07:36.229986 140531649939328 learning.py:512] global step 113492: loss = 0.0288 (0.156 sec/step)
INFO:tensorflow:global step 113493: loss = 0.0150 (0.157 sec/step)
I0724 06:07:36.388901 140531649939328 learning.py:512] global step 113493: loss = 0.0150 (0.157 sec/step)
INFO:tensorflow:global step 113494: loss = 0.1027 (0.163 sec/step)
I0724 06:07:36.553935 140531649939328 learning.py:512] global step 113494: loss = 0.1027 (0.163 sec/step)
INFO:tensorflow:global step 113495: loss = 0.0243 (0.163 sec/step)
I0724 06:07:36.718787 140531649939328 learning.py:512] global step 113495: loss = 0.0243 (0.163 sec/step)
INFO:tensorflow:global step 113496: loss = 0.1752 (0.158 sec/step)
I0724 06:07:36.879381 140531649939328 learning.py:512] global step 113496: loss = 0.1752 (0.158 sec/step)
INFO:tensorflow:global step 113497: loss = 0.0105 (0.152 sec/step)
I0724 06:07:37.033501 140531649939328 learning.py:512] global step 113497: loss = 0.0105 (0.152 sec/step)
INFO:tensorflow:global step 113498: loss = 0.0624 (0.149 sec/step)
I0724 06:07:37.183721 140531649939328 learning.py:512] global step 113498: loss = 0.0624 (0.149 sec/step)
INFO:tensorflow:global step 113499: loss = 0.0691 (0.169 sec/step)
I0724 06:07:37.354387 140531649939328 learning.py:512] global step 113499: loss = 0.0691 (0.169 sec/step)
INFO:tensorflow:global step 113500: loss = 0.1413 (0.156 sec/step)
I0724 06:07:37.512163 140531649939328 learning.py:512] global step 113500: loss = 0.1413 (0.156 sec/step)
INFO:tensorflow:global step 113501: loss = 0.0240 (0.141 sec/step)
I0724 06:07:37.654656 140531649939328 learning.py:512] global step 113501: loss = 0.0240 (0.141 sec/step)
INFO:tensorflow:global step 113502: loss = 0.0088 (0.155 sec/step)
I0724 06:07:37.811346 140531649939328 learning.py:512] global step 113502: loss = 0.0088 (0.155 sec/step)
INFO:tensorflow:global step 113503: loss = 0.0228 (0.172 sec/step)
I0724 06:07:37.984882 140531649939328 learning.py:512] global step 113503: loss = 0.0228 (0.172 sec/step)
INFO:tensorflow:global step 113504: loss = 0.0352 (0.165 sec/step)
I0724 06:07:38.150869 140531649939328 learning.py:512] global step 113504: loss = 0.0352 (0.165 sec/step)
INFO:tensorflow:global step 113505: loss = 0.0433 (0.147 sec/step)
I0724 06:07:38.299068 140531649939328 learning.py:512] global step 113505: loss = 0.0433 (0.147 sec/step)
INFO:tensorflow:global step 113506: loss = 0.0649 (0.159 sec/step)
I0724 06:07:38.459890 140531649939328 learning.py:512] global step 113506: loss = 0.0649 (0.159 sec/step)
INFO:tensorflow:global step 113507: loss = 0.1106 (0.163 sec/step)
I0724 06:07:38.624144 140531649939328 learning.py:512] global step 113507: loss = 0.1106 (0.163 sec/step)
INFO:tensorflow:global step 113508: loss = 0.0647 (0.168 sec/step)
I0724 06:07:38.793580 140531649939328 learning.py:512] global step 113508: loss = 0.0647 (0.168 sec/step)
INFO:tensorflow:global step 113509: loss = 0.0054 (0.166 sec/step)
I0724 06:07:38.960691 140531649939328 learning.py:512] global step 113509: loss = 0.0054 (0.166 sec/step)
INFO:tensorflow:global step 113510: loss = 0.0015 (0.185 sec/step)
I0724 06:07:39.147530 140531649939328 learning.py:512] global step 113510: loss = 0.0015 (0.185 sec/step)
INFO:tensorflow:global step 113511: loss = 0.0284 (0.165 sec/step)
I0724 06:07:39.313775 140531649939328 learning.py:512] global step 113511: loss = 0.0284 (0.165 sec/step)
INFO:tensorflow:global step 113512: loss = 0.0291 (0.157 sec/step)
I0724 06:07:39.472001 140531649939328 learning.py:512] global step 113512: loss = 0.0291 (0.157 sec/step)
INFO:tensorflow:global step 113513: loss = 0.0335 (0.151 sec/step)
I0724 06:07:39.624407 140531649939328 learning.py:512] global step 113513: loss = 0.0335 (0.151 sec/step)
INFO:tensorflow:global step 113514: loss = 0.0121 (0.169 sec/step)
I0724 06:07:39.794921 140531649939328 learning.py:512] global step 113514: loss = 0.0121 (0.169 sec/step)
INFO:tensorflow:global step 113515: loss = 0.0177 (0.172 sec/step)
I0724 06:07:39.968700 140531649939328 learning.py:512] global step 113515: loss = 0.0177 (0.172 sec/step)
INFO:tensorflow:global step 113516: loss = 0.0121 (0.168 sec/step)
I0724 06:07:40.138765 140531649939328 learning.py:512] global step 113516: loss = 0.0121 (0.168 sec/step)
INFO:tensorflow:global step 113517: loss = 0.0431 (0.172 sec/step)
I0724 06:07:40.312440 140531649939328 learning.py:512] global step 113517: loss = 0.0431 (0.172 sec/step)
INFO:tensorflow:global step 113518: loss = 0.0404 (0.157 sec/step)
I0724 06:07:40.470874 140531649939328 learning.py:512] global step 113518: loss = 0.0404 (0.157 sec/step)
INFO:tensorflow:global step 113519: loss = 0.0329 (0.147 sec/step)
I0724 06:07:40.618733 140531649939328 learning.py:512] global step 113519: loss = 0.0329 (0.147 sec/step)
INFO:tensorflow:global step 113520: loss = 0.0279 (0.163 sec/step)
I0724 06:07:40.783475 140531649939328 learning.py:512] global step 113520: loss = 0.0279 (0.163 sec/step)
INFO:tensorflow:global step 113521: loss = 0.0136 (0.163 sec/step)
I0724 06:07:40.947551 140531649939328 learning.py:512] global step 113521: loss = 0.0136 (0.163 sec/step)
INFO:tensorflow:global step 113522: loss = 0.1839 (0.168 sec/step)
I0724 06:07:41.117049 140531649939328 learning.py:512] global step 113522: loss = 0.1839 (0.168 sec/step)
INFO:tensorflow:global step 113523: loss = 0.0071 (0.162 sec/step)
I0724 06:07:41.280955 140531649939328 learning.py:512] global step 113523: loss = 0.0071 (0.162 sec/step)
INFO:tensorflow:global step 113524: loss = 0.0195 (0.157 sec/step)
I0724 06:07:41.439471 140531649939328 learning.py:512] global step 113524: loss = 0.0195 (0.157 sec/step)
INFO:tensorflow:global step 113525: loss = 0.0049 (0.153 sec/step)
I0724 06:07:41.593930 140531649939328 learning.py:512] global step 113525: loss = 0.0049 (0.153 sec/step)
INFO:tensorflow:global step 113526: loss = 0.1568 (0.163 sec/step)
I0724 06:07:41.758084 140531649939328 learning.py:512] global step 113526: loss = 0.1568 (0.163 sec/step)
INFO:tensorflow:global step 113527: loss = 0.0059 (0.166 sec/step)
I0724 06:07:41.925276 140531649939328 learning.py:512] global step 113527: loss = 0.0059 (0.166 sec/step)
INFO:tensorflow:global step 113528: loss = 0.0130 (0.170 sec/step)
I0724 06:07:42.098900 140531649939328 learning.py:512] global step 113528: loss = 0.0130 (0.170 sec/step)
INFO:tensorflow:global step 113529: loss = 0.0200 (0.149 sec/step)
I0724 06:07:42.251182 140531649939328 learning.py:512] global step 113529: loss = 0.0200 (0.149 sec/step)
INFO:tensorflow:global step 113530: loss = 0.0147 (0.169 sec/step)
I0724 06:07:42.421800 140531649939328 learning.py:512] global step 113530: loss = 0.0147 (0.169 sec/step)
INFO:tensorflow:global step 113531: loss = 0.0597 (0.149 sec/step)
I0724 06:07:42.571956 140531649939328 learning.py:512] global step 113531: loss = 0.0597 (0.149 sec/step)
INFO:tensorflow:global step 113532: loss = 0.0940 (0.160 sec/step)
I0724 06:07:42.732960 140531649939328 learning.py:512] global step 113532: loss = 0.0940 (0.160 sec/step)
INFO:tensorflow:global step 113533: loss = 0.0131 (0.149 sec/step)
I0724 06:07:42.883874 140531649939328 learning.py:512] global step 113533: loss = 0.0131 (0.149 sec/step)
INFO:tensorflow:global step 113534: loss = 0.0189 (0.166 sec/step)
I0724 06:07:43.051296 140531649939328 learning.py:512] global step 113534: loss = 0.0189 (0.166 sec/step)
INFO:tensorflow:global step 113535: loss = 0.0103 (0.165 sec/step)
I0724 06:07:43.217998 140531649939328 learning.py:512] global step 113535: loss = 0.0103 (0.165 sec/step)
INFO:tensorflow:global step 113536: loss = 0.0378 (0.159 sec/step)
I0724 06:07:43.377864 140531649939328 learning.py:512] global step 113536: loss = 0.0378 (0.159 sec/step)
INFO:tensorflow:global step 113537: loss = 0.0086 (0.166 sec/step)
I0724 06:07:43.545163 140531649939328 learning.py:512] global step 113537: loss = 0.0086 (0.166 sec/step)
INFO:tensorflow:global step 113538: loss = 0.0407 (0.146 sec/step)
I0724 06:07:43.692716 140531649939328 learning.py:512] global step 113538: loss = 0.0407 (0.146 sec/step)
INFO:tensorflow:global step 113539: loss = 0.0464 (0.153 sec/step)
I0724 06:07:43.847185 140531649939328 learning.py:512] global step 113539: loss = 0.0464 (0.153 sec/step)
INFO:tensorflow:global step 113540: loss = 0.0696 (0.170 sec/step)
I0724 06:07:44.018812 140531649939328 learning.py:512] global step 113540: loss = 0.0696 (0.170 sec/step)
INFO:tensorflow:global step 113541: loss = 0.0102 (0.157 sec/step)
I0724 06:07:44.177723 140531649939328 learning.py:512] global step 113541: loss = 0.0102 (0.157 sec/step)
INFO:tensorflow:global step 113542: loss = 0.0291 (0.176 sec/step)
I0724 06:07:44.355515 140531649939328 learning.py:512] global step 113542: loss = 0.0291 (0.176 sec/step)
INFO:tensorflow:global step 113543: loss = 0.0356 (0.159 sec/step)
I0724 06:07:44.515771 140531649939328 learning.py:512] global step 113543: loss = 0.0356 (0.159 sec/step)
INFO:tensorflow:global step 113544: loss = 0.0655 (0.157 sec/step)
I0724 06:07:44.674586 140531649939328 learning.py:512] global step 113544: loss = 0.0655 (0.157 sec/step)
INFO:tensorflow:global step 113545: loss = 0.0254 (0.164 sec/step)
I0724 06:07:44.840249 140531649939328 learning.py:512] global step 113545: loss = 0.0254 (0.164 sec/step)
INFO:tensorflow:global step 113546: loss = 0.0410 (0.176 sec/step)
I0724 06:07:45.017773 140531649939328 learning.py:512] global step 113546: loss = 0.0410 (0.176 sec/step)
INFO:tensorflow:global step 113547: loss = 0.0782 (0.170 sec/step)
I0724 06:07:45.189203 140531649939328 learning.py:512] global step 113547: loss = 0.0782 (0.170 sec/step)
INFO:tensorflow:global step 113548: loss = 0.0047 (0.158 sec/step)
I0724 06:07:45.348947 140531649939328 learning.py:512] global step 113548: loss = 0.0047 (0.158 sec/step)
INFO:tensorflow:global step 113549: loss = 0.0130 (0.162 sec/step)
I0724 06:07:45.512192 140531649939328 learning.py:512] global step 113549: loss = 0.0130 (0.162 sec/step)
INFO:tensorflow:global step 113550: loss = 0.0233 (0.156 sec/step)
I0724 06:07:45.669153 140531649939328 learning.py:512] global step 113550: loss = 0.0233 (0.156 sec/step)
INFO:tensorflow:global step 113551: loss = 0.0193 (0.150 sec/step)
I0724 06:07:45.820023 140531649939328 learning.py:512] global step 113551: loss = 0.0193 (0.150 sec/step)
INFO:tensorflow:global step 113552: loss = 0.0133 (0.174 sec/step)
I0724 06:07:45.995353 140531649939328 learning.py:512] global step 113552: loss = 0.0133 (0.174 sec/step)
INFO:tensorflow:global step 113553: loss = 0.0214 (0.155 sec/step)
I0724 06:07:46.151809 140531649939328 learning.py:512] global step 113553: loss = 0.0214 (0.155 sec/step)
INFO:tensorflow:global step 113554: loss = 0.1433 (0.159 sec/step)
I0724 06:07:46.312104 140531649939328 learning.py:512] global step 113554: loss = 0.1433 (0.159 sec/step)
INFO:tensorflow:global step 113555: loss = 0.0949 (0.166 sec/step)
I0724 06:07:46.479635 140531649939328 learning.py:512] global step 113555: loss = 0.0949 (0.166 sec/step)
INFO:tensorflow:global step 113556: loss = 0.0122 (0.160 sec/step)
I0724 06:07:46.640771 140531649939328 learning.py:512] global step 113556: loss = 0.0122 (0.160 sec/step)
INFO:tensorflow:global step 113557: loss = 0.0064 (0.160 sec/step)
I0724 06:07:46.802072 140531649939328 learning.py:512] global step 113557: loss = 0.0064 (0.160 sec/step)
INFO:tensorflow:global step 113558: loss = 0.0058 (0.170 sec/step)
I0724 06:07:46.973456 140531649939328 learning.py:512] global step 113558: loss = 0.0058 (0.170 sec/step)
INFO:tensorflow:global step 113559: loss = 0.0084 (0.153 sec/step)
I0724 06:07:47.128371 140531649939328 learning.py:512] global step 113559: loss = 0.0084 (0.153 sec/step)
INFO:tensorflow:global step 113560: loss = 0.1481 (0.197 sec/step)
I0724 06:07:47.327183 140531649939328 learning.py:512] global step 113560: loss = 0.1481 (0.197 sec/step)
INFO:tensorflow:global step 113561: loss = 0.0225 (0.163 sec/step)
I0724 06:07:47.491123 140531649939328 learning.py:512] global step 113561: loss = 0.0225 (0.163 sec/step)
INFO:tensorflow:global step 113562: loss = 0.0166 (0.172 sec/step)
I0724 06:07:47.664010 140531649939328 learning.py:512] global step 113562: loss = 0.0166 (0.172 sec/step)
INFO:tensorflow:global step 113563: loss = 0.0231 (0.157 sec/step)
I0724 06:07:47.822870 140531649939328 learning.py:512] global step 113563: loss = 0.0231 (0.157 sec/step)
INFO:tensorflow:global step 113564: loss = 0.0019 (0.162 sec/step)
I0724 06:07:47.986891 140531649939328 learning.py:512] global step 113564: loss = 0.0019 (0.162 sec/step)
INFO:tensorflow:global step 113565: loss = 0.0407 (0.172 sec/step)
I0724 06:07:48.159801 140531649939328 learning.py:512] global step 113565: loss = 0.0407 (0.172 sec/step)
INFO:tensorflow:global step 113566: loss = 0.0314 (0.181 sec/step)
I0724 06:07:48.342769 140531649939328 learning.py:512] global step 113566: loss = 0.0314 (0.181 sec/step)
INFO:tensorflow:global step 113567: loss = 0.0488 (0.165 sec/step)
I0724 06:07:48.509704 140531649939328 learning.py:512] global step 113567: loss = 0.0488 (0.165 sec/step)
INFO:tensorflow:global step 113568: loss = 0.0158 (0.170 sec/step)
I0724 06:07:48.680720 140531649939328 learning.py:512] global step 113568: loss = 0.0158 (0.170 sec/step)
INFO:tensorflow:global step 113569: loss = 0.0260 (0.176 sec/step)
I0724 06:07:48.857693 140531649939328 learning.py:512] global step 113569: loss = 0.0260 (0.176 sec/step)
INFO:tensorflow:global step 113570: loss = 0.0208 (0.159 sec/step)
I0724 06:07:49.018367 140531649939328 learning.py:512] global step 113570: loss = 0.0208 (0.159 sec/step)
INFO:tensorflow:global step 113571: loss = 0.0572 (0.160 sec/step)
I0724 06:07:49.180083 140531649939328 learning.py:512] global step 113571: loss = 0.0572 (0.160 sec/step)
INFO:tensorflow:global step 113572: loss = 0.0808 (0.177 sec/step)
I0724 06:07:49.357933 140531649939328 learning.py:512] global step 113572: loss = 0.0808 (0.177 sec/step)
INFO:tensorflow:global step 113573: loss = 0.0143 (0.158 sec/step)
I0724 06:07:49.517770 140531649939328 learning.py:512] global step 113573: loss = 0.0143 (0.158 sec/step)
INFO:tensorflow:global step 113574: loss = 0.0239 (0.141 sec/step)
I0724 06:07:49.659640 140531649939328 learning.py:512] global step 113574: loss = 0.0239 (0.141 sec/step)
INFO:tensorflow:global step 113575: loss = 0.0230 (0.171 sec/step)
I0724 06:07:49.832364 140531649939328 learning.py:512] global step 113575: loss = 0.0230 (0.171 sec/step)
INFO:tensorflow:global step 113576: loss = 0.0435 (0.154 sec/step)
I0724 06:07:49.987776 140531649939328 learning.py:512] global step 113576: loss = 0.0435 (0.154 sec/step)
INFO:tensorflow:global step 113577: loss = 0.0354 (0.152 sec/step)
I0724 06:07:50.141238 140531649939328 learning.py:512] global step 113577: loss = 0.0354 (0.152 sec/step)
INFO:tensorflow:global step 113578: loss = 0.0253 (0.175 sec/step)
I0724 06:07:50.317622 140531649939328 learning.py:512] global step 113578: loss = 0.0253 (0.175 sec/step)
INFO:tensorflow:global step 113579: loss = 0.1123 (0.161 sec/step)
I0724 06:07:50.480457 140531649939328 learning.py:512] global step 113579: loss = 0.1123 (0.161 sec/step)
INFO:tensorflow:global step 113580: loss = 0.0940 (0.165 sec/step)
I0724 06:07:50.646816 140531649939328 learning.py:512] global step 113580: loss = 0.0940 (0.165 sec/step)
INFO:tensorflow:global step 113581: loss = 0.0301 (0.154 sec/step)
I0724 06:07:50.802143 140531649939328 learning.py:512] global step 113581: loss = 0.0301 (0.154 sec/step)
INFO:tensorflow:global step 113582: loss = 0.0093 (0.159 sec/step)
I0724 06:07:50.962549 140531649939328 learning.py:512] global step 113582: loss = 0.0093 (0.159 sec/step)
INFO:tensorflow:global step 113583: loss = 0.0486 (0.163 sec/step)
I0724 06:07:51.126948 140531649939328 learning.py:512] global step 113583: loss = 0.0486 (0.163 sec/step)
INFO:tensorflow:global step 113584: loss = 0.0408 (0.167 sec/step)
I0724 06:07:51.295696 140531649939328 learning.py:512] global step 113584: loss = 0.0408 (0.167 sec/step)
INFO:tensorflow:global step 113585: loss = 0.0610 (0.149 sec/step)
I0724 06:07:51.446426 140531649939328 learning.py:512] global step 113585: loss = 0.0610 (0.149 sec/step)
INFO:tensorflow:global step 113586: loss = 0.0189 (0.167 sec/step)
I0724 06:07:51.615264 140531649939328 learning.py:512] global step 113586: loss = 0.0189 (0.167 sec/step)
INFO:tensorflow:global step 113587: loss = 0.0844 (0.152 sec/step)
I0724 06:07:51.768877 140531649939328 learning.py:512] global step 113587: loss = 0.0844 (0.152 sec/step)
INFO:tensorflow:global step 113588: loss = 0.0224 (0.146 sec/step)
I0724 06:07:51.916046 140531649939328 learning.py:512] global step 113588: loss = 0.0224 (0.146 sec/step)
INFO:tensorflow:global step 113589: loss = 0.0136 (0.165 sec/step)
I0724 06:07:52.082608 140531649939328 learning.py:512] global step 113589: loss = 0.0136 (0.165 sec/step)
INFO:tensorflow:global step 113590: loss = 0.0332 (0.175 sec/step)
I0724 06:07:52.259353 140531649939328 learning.py:512] global step 113590: loss = 0.0332 (0.175 sec/step)
INFO:tensorflow:global step 113591: loss = 0.0612 (0.163 sec/step)
I0724 06:07:52.424078 140531649939328 learning.py:512] global step 113591: loss = 0.0612 (0.163 sec/step)
INFO:tensorflow:global step 113592: loss = 0.0674 (0.153 sec/step)
I0724 06:07:52.578621 140531649939328 learning.py:512] global step 113592: loss = 0.0674 (0.153 sec/step)
INFO:tensorflow:global step 113593: loss = 0.0093 (0.152 sec/step)
I0724 06:07:52.731713 140531649939328 learning.py:512] global step 113593: loss = 0.0093 (0.152 sec/step)
INFO:tensorflow:global step 113594: loss = 0.0660 (0.154 sec/step)
I0724 06:07:52.886702 140531649939328 learning.py:512] global step 113594: loss = 0.0660 (0.154 sec/step)
INFO:tensorflow:global step 113595: loss = 0.0313 (0.172 sec/step)
I0724 06:07:53.059967 140531649939328 learning.py:512] global step 113595: loss = 0.0313 (0.172 sec/step)
INFO:tensorflow:global step 113596: loss = 0.0169 (0.176 sec/step)
I0724 06:07:53.236943 140531649939328 learning.py:512] global step 113596: loss = 0.0169 (0.176 sec/step)
INFO:tensorflow:global step 113597: loss = 0.0144 (0.168 sec/step)
I0724 06:07:53.406705 140531649939328 learning.py:512] global step 113597: loss = 0.0144 (0.168 sec/step)
INFO:tensorflow:global step 113598: loss = 0.0843 (0.175 sec/step)
I0724 06:07:53.582802 140531649939328 learning.py:512] global step 113598: loss = 0.0843 (0.175 sec/step)
INFO:tensorflow:global step 113599: loss = 0.0312 (0.165 sec/step)
I0724 06:07:53.749659 140531649939328 learning.py:512] global step 113599: loss = 0.0312 (0.165 sec/step)
INFO:tensorflow:global step 113600: loss = 0.0172 (0.170 sec/step)
I0724 06:07:53.921538 140531649939328 learning.py:512] global step 113600: loss = 0.0172 (0.170 sec/step)
INFO:tensorflow:global step 113601: loss = 0.0070 (0.167 sec/step)
I0724 06:07:54.089513 140531649939328 learning.py:512] global step 113601: loss = 0.0070 (0.167 sec/step)
INFO:tensorflow:global step 113602: loss = 0.0184 (0.156 sec/step)
I0724 06:07:54.246894 140531649939328 learning.py:512] global step 113602: loss = 0.0184 (0.156 sec/step)
INFO:tensorflow:global step 113603: loss = 0.0583 (0.179 sec/step)
I0724 06:07:54.426754 140531649939328 learning.py:512] global step 113603: loss = 0.0583 (0.179 sec/step)
INFO:tensorflow:global step 113604: loss = 0.0114 (0.162 sec/step)
I0724 06:07:54.589793 140531649939328 learning.py:512] global step 113604: loss = 0.0114 (0.162 sec/step)
INFO:tensorflow:global step 113605: loss = 0.0071 (0.158 sec/step)
I0724 06:07:54.749452 140531649939328 learning.py:512] global step 113605: loss = 0.0071 (0.158 sec/step)
INFO:tensorflow:global step 113606: loss = 0.0087 (0.202 sec/step)
I0724 06:07:54.953023 140531649939328 learning.py:512] global step 113606: loss = 0.0087 (0.202 sec/step)
INFO:tensorflow:global step 113607: loss = 0.1038 (0.218 sec/step)
I0724 06:07:55.173126 140531649939328 learning.py:512] global step 113607: loss = 0.1038 (0.218 sec/step)
INFO:tensorflow:global step 113608: loss = 0.0170 (0.292 sec/step)
I0724 06:07:55.467478 140531649939328 learning.py:512] global step 113608: loss = 0.0170 (0.292 sec/step)
INFO:tensorflow:global step 113609: loss = 0.0105 (0.287 sec/step)
I0724 06:07:55.756683 140531649939328 learning.py:512] global step 113609: loss = 0.0105 (0.287 sec/step)
INFO:tensorflow:global step 113610: loss = 0.0261 (0.169 sec/step)
I0724 06:07:55.926949 140531649939328 learning.py:512] global step 113610: loss = 0.0261 (0.169 sec/step)
INFO:tensorflow:global step 113611: loss = 0.0263 (0.158 sec/step)
I0724 06:07:56.086341 140531649939328 learning.py:512] global step 113611: loss = 0.0263 (0.158 sec/step)
INFO:tensorflow:global step 113612: loss = 0.0995 (0.165 sec/step)
I0724 06:07:56.252978 140531649939328 learning.py:512] global step 113612: loss = 0.0995 (0.165 sec/step)
INFO:tensorflow:global step 113613: loss = 0.0078 (0.177 sec/step)
I0724 06:07:56.433642 140531649939328 learning.py:512] global step 113613: loss = 0.0078 (0.177 sec/step)
INFO:tensorflow:global step 113614: loss = 0.0107 (0.157 sec/step)
I0724 06:07:56.592024 140531649939328 learning.py:512] global step 113614: loss = 0.0107 (0.157 sec/step)
INFO:tensorflow:global step 113615: loss = 0.0342 (0.157 sec/step)
I0724 06:07:56.750795 140531649939328 learning.py:512] global step 113615: loss = 0.0342 (0.157 sec/step)
INFO:tensorflow:global step 113616: loss = 0.0155 (0.145 sec/step)
I0724 06:07:56.897466 140531649939328 learning.py:512] global step 113616: loss = 0.0155 (0.145 sec/step)
INFO:tensorflow:global step 113617: loss = 0.0312 (0.165 sec/step)
I0724 06:07:57.064213 140531649939328 learning.py:512] global step 113617: loss = 0.0312 (0.165 sec/step)
INFO:tensorflow:global step 113618: loss = 0.0152 (0.153 sec/step)
I0724 06:07:57.218319 140531649939328 learning.py:512] global step 113618: loss = 0.0152 (0.153 sec/step)
INFO:tensorflow:global step 113619: loss = 0.0158 (0.191 sec/step)
I0724 06:07:57.411219 140531649939328 learning.py:512] global step 113619: loss = 0.0158 (0.191 sec/step)
INFO:tensorflow:global step 113620: loss = 0.0279 (0.173 sec/step)
I0724 06:07:57.585965 140531649939328 learning.py:512] global step 113620: loss = 0.0279 (0.173 sec/step)
INFO:tensorflow:global step 113621: loss = 0.1009 (0.148 sec/step)
I0724 06:07:57.735478 140531649939328 learning.py:512] global step 113621: loss = 0.1009 (0.148 sec/step)
INFO:tensorflow:global step 113622: loss = 0.0172 (0.171 sec/step)
I0724 06:07:57.907979 140531649939328 learning.py:512] global step 113622: loss = 0.0172 (0.171 sec/step)
INFO:tensorflow:global step 113623: loss = 0.0035 (0.162 sec/step)
I0724 06:07:58.072179 140531649939328 learning.py:512] global step 113623: loss = 0.0035 (0.162 sec/step)
INFO:tensorflow:global step 113624: loss = 0.0150 (0.165 sec/step)
I0724 06:07:58.238553 140531649939328 learning.py:512] global step 113624: loss = 0.0150 (0.165 sec/step)
INFO:tensorflow:global step 113625: loss = 0.0138 (0.161 sec/step)
I0724 06:07:58.400754 140531649939328 learning.py:512] global step 113625: loss = 0.0138 (0.161 sec/step)
INFO:tensorflow:global step 113626: loss = 0.0169 (0.178 sec/step)
I0724 06:07:58.580070 140531649939328 learning.py:512] global step 113626: loss = 0.0169 (0.178 sec/step)
INFO:tensorflow:global step 113627: loss = 0.0262 (0.158 sec/step)
I0724 06:07:58.740039 140531649939328 learning.py:512] global step 113627: loss = 0.0262 (0.158 sec/step)
INFO:tensorflow:global step 113628: loss = 0.0067 (0.160 sec/step)
I0724 06:07:58.901727 140531649939328 learning.py:512] global step 113628: loss = 0.0067 (0.160 sec/step)
INFO:tensorflow:global step 113629: loss = 0.0075 (0.164 sec/step)
I0724 06:07:59.066949 140531649939328 learning.py:512] global step 113629: loss = 0.0075 (0.164 sec/step)
INFO:tensorflow:global step 113630: loss = 0.0722 (0.141 sec/step)
I0724 06:07:59.209762 140531649939328 learning.py:512] global step 113630: loss = 0.0722 (0.141 sec/step)
INFO:tensorflow:global step 113631: loss = 0.1247 (0.160 sec/step)
I0724 06:07:59.371198 140531649939328 learning.py:512] global step 113631: loss = 0.1247 (0.160 sec/step)
INFO:tensorflow:global step 113632: loss = 0.0762 (0.167 sec/step)
I0724 06:07:59.539349 140531649939328 learning.py:512] global step 113632: loss = 0.0762 (0.167 sec/step)
INFO:tensorflow:global step 113633: loss = 0.0114 (0.161 sec/step)
I0724 06:07:59.701590 140531649939328 learning.py:512] global step 113633: loss = 0.0114 (0.161 sec/step)
INFO:tensorflow:global step 113634: loss = 0.0328 (0.170 sec/step)
I0724 06:07:59.873396 140531649939328 learning.py:512] global step 113634: loss = 0.0328 (0.170 sec/step)
INFO:tensorflow:global step 113635: loss = 0.0266 (0.179 sec/step)
I0724 06:08:00.053758 140531649939328 learning.py:512] global step 113635: loss = 0.0266 (0.179 sec/step)
INFO:tensorflow:global step 113636: loss = 0.0215 (0.165 sec/step)
I0724 06:08:00.220822 140531649939328 learning.py:512] global step 113636: loss = 0.0215 (0.165 sec/step)
INFO:tensorflow:global step 113637: loss = 0.0063 (0.161 sec/step)
I0724 06:08:00.383020 140531649939328 learning.py:512] global step 113637: loss = 0.0063 (0.161 sec/step)
INFO:tensorflow:global step 113638: loss = 0.0297 (0.173 sec/step)
I0724 06:08:00.559787 140531649939328 learning.py:512] global step 113638: loss = 0.0297 (0.173 sec/step)
INFO:tensorflow:global step 113639: loss = 0.0360 (0.174 sec/step)
I0724 06:08:00.735542 140531649939328 learning.py:512] global step 113639: loss = 0.0360 (0.174 sec/step)
INFO:tensorflow:global step 113640: loss = 0.0716 (0.173 sec/step)
I0724 06:08:00.910051 140531649939328 learning.py:512] global step 113640: loss = 0.0716 (0.173 sec/step)
INFO:tensorflow:global step 113641: loss = 0.0295 (0.161 sec/step)
I0724 06:08:01.072570 140531649939328 learning.py:512] global step 113641: loss = 0.0295 (0.161 sec/step)
INFO:tensorflow:global step 113642: loss = 0.0039 (0.163 sec/step)
I0724 06:08:01.236904 140531649939328 learning.py:512] global step 113642: loss = 0.0039 (0.163 sec/step)
INFO:tensorflow:global step 113643: loss = 0.0396 (0.149 sec/step)
I0724 06:08:01.387388 140531649939328 learning.py:512] global step 113643: loss = 0.0396 (0.149 sec/step)
INFO:tensorflow:global step 113644: loss = 0.0105 (0.158 sec/step)
I0724 06:08:01.547083 140531649939328 learning.py:512] global step 113644: loss = 0.0105 (0.158 sec/step)
INFO:tensorflow:global step 113645: loss = 0.0068 (0.168 sec/step)
I0724 06:08:01.716710 140531649939328 learning.py:512] global step 113645: loss = 0.0068 (0.168 sec/step)
INFO:tensorflow:global step 113646: loss = 0.0584 (0.157 sec/step)
I0724 06:08:01.875200 140531649939328 learning.py:512] global step 113646: loss = 0.0584 (0.157 sec/step)
INFO:tensorflow:global step 113647: loss = 0.0464 (0.167 sec/step)
I0724 06:08:02.043352 140531649939328 learning.py:512] global step 113647: loss = 0.0464 (0.167 sec/step)
INFO:tensorflow:global step 113648: loss = 0.0430 (0.160 sec/step)
I0724 06:08:02.205066 140531649939328 learning.py:512] global step 113648: loss = 0.0430 (0.160 sec/step)
INFO:tensorflow:global step 113649: loss = 0.0664 (0.147 sec/step)
I0724 06:08:02.353467 140531649939328 learning.py:512] global step 113649: loss = 0.0664 (0.147 sec/step)
INFO:tensorflow:global step 113650: loss = 0.0310 (0.180 sec/step)
I0724 06:08:02.535567 140531649939328 learning.py:512] global step 113650: loss = 0.0310 (0.180 sec/step)
INFO:tensorflow:global step 113651: loss = 0.0322 (0.169 sec/step)
I0724 06:08:02.705621 140531649939328 learning.py:512] global step 113651: loss = 0.0322 (0.169 sec/step)
INFO:tensorflow:global step 113652: loss = 0.0114 (0.168 sec/step)
I0724 06:08:02.875148 140531649939328 learning.py:512] global step 113652: loss = 0.0114 (0.168 sec/step)
INFO:tensorflow:global step 113653: loss = 0.0253 (0.157 sec/step)
I0724 06:08:03.033900 140531649939328 learning.py:512] global step 113653: loss = 0.0253 (0.157 sec/step)
INFO:tensorflow:global step 113654: loss = 0.0580 (0.154 sec/step)
I0724 06:08:03.189558 140531649939328 learning.py:512] global step 113654: loss = 0.0580 (0.154 sec/step)
INFO:tensorflow:global step 113655: loss = 0.0308 (0.168 sec/step)
I0724 06:08:03.359324 140531649939328 learning.py:512] global step 113655: loss = 0.0308 (0.168 sec/step)
INFO:tensorflow:global step 113656: loss = 0.0136 (0.180 sec/step)
I0724 06:08:03.540996 140531649939328 learning.py:512] global step 113656: loss = 0.0136 (0.180 sec/step)
INFO:tensorflow:global step 113657: loss = 0.0173 (0.166 sec/step)
I0724 06:08:03.708350 140531649939328 learning.py:512] global step 113657: loss = 0.0173 (0.166 sec/step)
INFO:tensorflow:global step 113658: loss = 0.0724 (0.170 sec/step)
I0724 06:08:03.879745 140531649939328 learning.py:512] global step 113658: loss = 0.0724 (0.170 sec/step)
INFO:tensorflow:global step 113659: loss = 0.0448 (0.157 sec/step)
I0724 06:08:04.038375 140531649939328 learning.py:512] global step 113659: loss = 0.0448 (0.157 sec/step)
INFO:tensorflow:global step 113660: loss = 0.0162 (0.172 sec/step)
I0724 06:08:04.212084 140531649939328 learning.py:512] global step 113660: loss = 0.0162 (0.172 sec/step)
INFO:tensorflow:global step 113661: loss = 0.0300 (0.160 sec/step)
I0724 06:08:04.373092 140531649939328 learning.py:512] global step 113661: loss = 0.0300 (0.160 sec/step)
INFO:tensorflow:global step 113662: loss = 0.0158 (0.163 sec/step)
I0724 06:08:04.537604 140531649939328 learning.py:512] global step 113662: loss = 0.0158 (0.163 sec/step)
INFO:tensorflow:global step 113663: loss = 0.0327 (0.168 sec/step)
I0724 06:08:04.706924 140531649939328 learning.py:512] global step 113663: loss = 0.0327 (0.168 sec/step)
INFO:tensorflow:global step 113664: loss = 0.0243 (0.165 sec/step)
I0724 06:08:04.873505 140531649939328 learning.py:512] global step 113664: loss = 0.0243 (0.165 sec/step)
INFO:tensorflow:global step 113665: loss = 0.0146 (0.158 sec/step)
I0724 06:08:05.032633 140531649939328 learning.py:512] global step 113665: loss = 0.0146 (0.158 sec/step)
INFO:tensorflow:global step 113666: loss = 0.0260 (0.161 sec/step)
I0724 06:08:05.195330 140531649939328 learning.py:512] global step 113666: loss = 0.0260 (0.161 sec/step)
INFO:tensorflow:global step 113667: loss = 0.0281 (0.165 sec/step)
I0724 06:08:05.361962 140531649939328 learning.py:512] global step 113667: loss = 0.0281 (0.165 sec/step)
INFO:tensorflow:global step 113668: loss = 0.0153 (0.182 sec/step)
I0724 06:08:05.545588 140531649939328 learning.py:512] global step 113668: loss = 0.0153 (0.182 sec/step)
INFO:tensorflow:global step 113669: loss = 0.0285 (0.158 sec/step)
I0724 06:08:05.704791 140531649939328 learning.py:512] global step 113669: loss = 0.0285 (0.158 sec/step)
INFO:tensorflow:global step 113670: loss = 0.0171 (0.179 sec/step)
I0724 06:08:05.884908 140531649939328 learning.py:512] global step 113670: loss = 0.0171 (0.179 sec/step)
INFO:tensorflow:global step 113671: loss = 0.0096 (0.157 sec/step)
I0724 06:08:06.043248 140531649939328 learning.py:512] global step 113671: loss = 0.0096 (0.157 sec/step)
INFO:tensorflow:global step 113672: loss = 0.0311 (0.156 sec/step)
I0724 06:08:06.200349 140531649939328 learning.py:512] global step 113672: loss = 0.0311 (0.156 sec/step)
INFO:tensorflow:global step 113673: loss = 0.0237 (0.185 sec/step)
I0724 06:08:06.386191 140531649939328 learning.py:512] global step 113673: loss = 0.0237 (0.185 sec/step)
INFO:tensorflow:global step 113674: loss = 0.1111 (0.174 sec/step)
I0724 06:08:06.561211 140531649939328 learning.py:512] global step 113674: loss = 0.1111 (0.174 sec/step)
INFO:tensorflow:global step 113675: loss = 0.0164 (0.173 sec/step)
I0724 06:08:06.735389 140531649939328 learning.py:512] global step 113675: loss = 0.0164 (0.173 sec/step)
INFO:tensorflow:global step 113676: loss = 0.1221 (0.162 sec/step)
I0724 06:08:06.899206 140531649939328 learning.py:512] global step 113676: loss = 0.1221 (0.162 sec/step)
INFO:tensorflow:global step 113677: loss = 0.0748 (0.160 sec/step)
I0724 06:08:07.060856 140531649939328 learning.py:512] global step 113677: loss = 0.0748 (0.160 sec/step)
INFO:tensorflow:global step 113678: loss = 0.0630 (0.145 sec/step)
I0724 06:08:07.207678 140531649939328 learning.py:512] global step 113678: loss = 0.0630 (0.145 sec/step)
INFO:tensorflow:global step 113679: loss = 0.0295 (0.162 sec/step)
I0724 06:08:07.370863 140531649939328 learning.py:512] global step 113679: loss = 0.0295 (0.162 sec/step)
INFO:tensorflow:global step 113680: loss = 0.0084 (0.158 sec/step)
I0724 06:08:07.533192 140531649939328 learning.py:512] global step 113680: loss = 0.0084 (0.158 sec/step)
INFO:tensorflow:global step 113681: loss = 0.0112 (0.169 sec/step)
I0724 06:08:07.703640 140531649939328 learning.py:512] global step 113681: loss = 0.0112 (0.169 sec/step)
INFO:tensorflow:global step 113682: loss = 0.0040 (0.158 sec/step)
I0724 06:08:07.862670 140531649939328 learning.py:512] global step 113682: loss = 0.0040 (0.158 sec/step)
INFO:tensorflow:global step 113683: loss = 0.1011 (0.159 sec/step)
I0724 06:08:08.023548 140531649939328 learning.py:512] global step 113683: loss = 0.1011 (0.159 sec/step)
INFO:tensorflow:global step 113684: loss = 0.0303 (0.156 sec/step)
I0724 06:08:08.181447 140531649939328 learning.py:512] global step 113684: loss = 0.0303 (0.156 sec/step)
INFO:tensorflow:global step 113685: loss = 0.0231 (0.172 sec/step)
I0724 06:08:08.355948 140531649939328 learning.py:512] global step 113685: loss = 0.0231 (0.172 sec/step)
INFO:tensorflow:global step 113686: loss = 0.1758 (0.154 sec/step)
I0724 06:08:08.511970 140531649939328 learning.py:512] global step 113686: loss = 0.1758 (0.154 sec/step)
INFO:tensorflow:global step 113687: loss = 0.0175 (0.185 sec/step)
I0724 06:08:08.698209 140531649939328 learning.py:512] global step 113687: loss = 0.0175 (0.185 sec/step)
INFO:tensorflow:global step 113688: loss = 0.0221 (0.162 sec/step)
I0724 06:08:08.863046 140531649939328 learning.py:512] global step 113688: loss = 0.0221 (0.162 sec/step)
INFO:tensorflow:global step 113689: loss = 0.0677 (0.161 sec/step)
I0724 06:08:09.025308 140531649939328 learning.py:512] global step 113689: loss = 0.0677 (0.161 sec/step)
INFO:tensorflow:global step 113690: loss = 0.1378 (0.164 sec/step)
I0724 06:08:09.190761 140531649939328 learning.py:512] global step 113690: loss = 0.1378 (0.164 sec/step)
INFO:tensorflow:global step 113691: loss = 0.0205 (0.158 sec/step)
I0724 06:08:09.350632 140531649939328 learning.py:512] global step 113691: loss = 0.0205 (0.158 sec/step)
INFO:tensorflow:global step 113692: loss = 0.2137 (0.165 sec/step)
I0724 06:08:09.517057 140531649939328 learning.py:512] global step 113692: loss = 0.2137 (0.165 sec/step)
INFO:tensorflow:global step 113693: loss = 0.0331 (0.168 sec/step)
I0724 06:08:09.685934 140531649939328 learning.py:512] global step 113693: loss = 0.0331 (0.168 sec/step)
INFO:tensorflow:global step 113694: loss = 0.1660 (0.165 sec/step)
I0724 06:08:09.852725 140531649939328 learning.py:512] global step 113694: loss = 0.1660 (0.165 sec/step)
INFO:tensorflow:global step 113695: loss = 0.0220 (0.160 sec/step)
I0724 06:08:10.014261 140531649939328 learning.py:512] global step 113695: loss = 0.0220 (0.160 sec/step)
INFO:tensorflow:global step 113696: loss = 0.0619 (0.146 sec/step)
I0724 06:08:10.162092 140531649939328 learning.py:512] global step 113696: loss = 0.0619 (0.146 sec/step)
INFO:tensorflow:global step 113697: loss = 0.0226 (0.143 sec/step)
I0724 06:08:10.306496 140531649939328 learning.py:512] global step 113697: loss = 0.0226 (0.143 sec/step)
INFO:tensorflow:global step 113698: loss = 0.0757 (0.168 sec/step)
I0724 06:08:10.476025 140531649939328 learning.py:512] global step 113698: loss = 0.0757 (0.168 sec/step)
INFO:tensorflow:global step 113699: loss = 0.0414 (0.177 sec/step)
I0724 06:08:10.654718 140531649939328 learning.py:512] global step 113699: loss = 0.0414 (0.177 sec/step)
INFO:tensorflow:global step 113700: loss = 0.0760 (0.143 sec/step)
I0724 06:08:10.799494 140531649939328 learning.py:512] global step 113700: loss = 0.0760 (0.143 sec/step)
INFO:tensorflow:global step 113701: loss = 0.0174 (0.175 sec/step)
I0724 06:08:10.978097 140531649939328 learning.py:512] global step 113701: loss = 0.0174 (0.175 sec/step)
INFO:tensorflow:global step 113702: loss = 0.0917 (0.320 sec/step)
I0724 06:08:11.323169 140531649939328 learning.py:512] global step 113702: loss = 0.0917 (0.320 sec/step)
INFO:tensorflow:global step 113703: loss = 0.0576 (0.284 sec/step)
I0724 06:08:11.617081 140531649939328 learning.py:512] global step 113703: loss = 0.0576 (0.284 sec/step)
INFO:tensorflow:global step 113704: loss = 0.0279 (0.212 sec/step)
I0724 06:08:11.851247 140531649939328 learning.py:512] global step 113704: loss = 0.0279 (0.212 sec/step)
INFO:tensorflow:Recording summary at step 113704.
I0724 06:08:11.946771 140528128378624 supervisor.py:1050] Recording summary at step 113704.
INFO:tensorflow:global step 113705: loss = 0.0820 (0.194 sec/step)
I0724 06:08:12.047131 140531649939328 learning.py:512] global step 113705: loss = 0.0820 (0.194 sec/step)
INFO:tensorflow:global step 113706: loss = 0.0262 (0.163 sec/step)
I0724 06:08:12.211645 140531649939328 learning.py:512] global step 113706: loss = 0.0262 (0.163 sec/step)
INFO:tensorflow:global step 113707: loss = 0.0370 (0.152 sec/step)
I0724 06:08:12.365228 140531649939328 learning.py:512] global step 113707: loss = 0.0370 (0.152 sec/step)
INFO:tensorflow:global step 113708: loss = 0.0213 (0.158 sec/step)
I0724 06:08:12.524422 140531649939328 learning.py:512] global step 113708: loss = 0.0213 (0.158 sec/step)
INFO:tensorflow:global step 113709: loss = 0.0455 (0.181 sec/step)
I0724 06:08:12.707123 140531649939328 learning.py:512] global step 113709: loss = 0.0455 (0.181 sec/step)
INFO:tensorflow:global step 113710: loss = 0.0094 (0.160 sec/step)
I0724 06:08:12.869284 140531649939328 learning.py:512] global step 113710: loss = 0.0094 (0.160 sec/step)
INFO:tensorflow:global step 113711: loss = 0.0493 (0.160 sec/step)
I0724 06:08:13.031018 140531649939328 learning.py:512] global step 113711: loss = 0.0493 (0.160 sec/step)
INFO:tensorflow:global step 113712: loss = 0.0402 (0.168 sec/step)
I0724 06:08:13.200858 140531649939328 learning.py:512] global step 113712: loss = 0.0402 (0.168 sec/step)
INFO:tensorflow:global step 113713: loss = 0.0121 (0.148 sec/step)
I0724 06:08:13.350655 140531649939328 learning.py:512] global step 113713: loss = 0.0121 (0.148 sec/step)
INFO:tensorflow:global step 113714: loss = 0.0770 (0.171 sec/step)
I0724 06:08:13.522822 140531649939328 learning.py:512] global step 113714: loss = 0.0770 (0.171 sec/step)
INFO:tensorflow:global step 113715: loss = 0.1179 (0.193 sec/step)
I0724 06:08:13.717730 140531649939328 learning.py:512] global step 113715: loss = 0.1179 (0.193 sec/step)
INFO:tensorflow:global step 113716: loss = 0.0414 (0.191 sec/step)
I0724 06:08:13.910745 140531649939328 learning.py:512] global step 113716: loss = 0.0414 (0.191 sec/step)
INFO:tensorflow:global step 113717: loss = 0.0794 (0.161 sec/step)
I0724 06:08:14.073284 140531649939328 learning.py:512] global step 113717: loss = 0.0794 (0.161 sec/step)
INFO:tensorflow:global step 113718: loss = 0.1673 (0.145 sec/step)
I0724 06:08:14.219237 140531649939328 learning.py:512] global step 113718: loss = 0.1673 (0.145 sec/step)
INFO:tensorflow:global step 113719: loss = 0.1437 (0.164 sec/step)
I0724 06:08:14.385237 140531649939328 learning.py:512] global step 113719: loss = 0.1437 (0.164 sec/step)
INFO:tensorflow:global step 113720: loss = 0.0238 (0.168 sec/step)
I0724 06:08:14.555211 140531649939328 learning.py:512] global step 113720: loss = 0.0238 (0.168 sec/step)
INFO:tensorflow:global step 113721: loss = 0.0352 (0.167 sec/step)
I0724 06:08:14.723991 140531649939328 learning.py:512] global step 113721: loss = 0.0352 (0.167 sec/step)
INFO:tensorflow:global step 113722: loss = 0.0299 (0.171 sec/step)
I0724 06:08:14.897018 140531649939328 learning.py:512] global step 113722: loss = 0.0299 (0.171 sec/step)
INFO:tensorflow:global step 113723: loss = 0.0121 (0.167 sec/step)
I0724 06:08:15.065562 140531649939328 learning.py:512] global step 113723: loss = 0.0121 (0.167 sec/step)
INFO:tensorflow:global step 113724: loss = 0.0126 (0.171 sec/step)
I0724 06:08:15.238063 140531649939328 learning.py:512] global step 113724: loss = 0.0126 (0.171 sec/step)
INFO:tensorflow:global step 113725: loss = 0.0100 (0.159 sec/step)
I0724 06:08:15.399215 140531649939328 learning.py:512] global step 113725: loss = 0.0100 (0.159 sec/step)
INFO:tensorflow:global step 113726: loss = 0.0110 (0.166 sec/step)
I0724 06:08:15.566637 140531649939328 learning.py:512] global step 113726: loss = 0.0110 (0.166 sec/step)
INFO:tensorflow:global step 113727: loss = 0.0276 (0.163 sec/step)
I0724 06:08:15.730810 140531649939328 learning.py:512] global step 113727: loss = 0.0276 (0.163 sec/step)
INFO:tensorflow:global step 113728: loss = 0.0595 (0.157 sec/step)
I0724 06:08:15.889500 140531649939328 learning.py:512] global step 113728: loss = 0.0595 (0.157 sec/step)
INFO:tensorflow:global step 113729: loss = 0.0266 (0.167 sec/step)
I0724 06:08:16.058402 140531649939328 learning.py:512] global step 113729: loss = 0.0266 (0.167 sec/step)
INFO:tensorflow:global step 113730: loss = 0.1201 (0.151 sec/step)
I0724 06:08:16.211677 140531649939328 learning.py:512] global step 113730: loss = 0.1201 (0.151 sec/step)
INFO:tensorflow:global step 113731: loss = 0.0132 (0.162 sec/step)
I0724 06:08:16.375321 140531649939328 learning.py:512] global step 113731: loss = 0.0132 (0.162 sec/step)
INFO:tensorflow:global step 113732: loss = 0.1421 (0.168 sec/step)
I0724 06:08:16.545183 140531649939328 learning.py:512] global step 113732: loss = 0.1421 (0.168 sec/step)
INFO:tensorflow:global step 113733: loss = 0.1151 (0.181 sec/step)
I0724 06:08:16.727434 140531649939328 learning.py:512] global step 113733: loss = 0.1151 (0.181 sec/step)
INFO:tensorflow:global step 113734: loss = 0.0340 (0.158 sec/step)
I0724 06:08:16.886771 140531649939328 learning.py:512] global step 113734: loss = 0.0340 (0.158 sec/step)
INFO:tensorflow:global step 113735: loss = 0.0369 (0.167 sec/step)
I0724 06:08:17.055567 140531649939328 learning.py:512] global step 113735: loss = 0.0369 (0.167 sec/step)
INFO:tensorflow:global step 113736: loss = 0.0435 (0.151 sec/step)
I0724 06:08:17.208430 140531649939328 learning.py:512] global step 113736: loss = 0.0435 (0.151 sec/step)
INFO:tensorflow:global step 113737: loss = 0.0401 (0.149 sec/step)
I0724 06:08:17.358975 140531649939328 learning.py:512] global step 113737: loss = 0.0401 (0.149 sec/step)
INFO:tensorflow:global step 113738: loss = 0.0081 (0.167 sec/step)
I0724 06:08:17.527556 140531649939328 learning.py:512] global step 113738: loss = 0.0081 (0.167 sec/step)
INFO:tensorflow:global step 113739: loss = 0.0357 (0.161 sec/step)
I0724 06:08:17.690973 140531649939328 learning.py:512] global step 113739: loss = 0.0357 (0.161 sec/step)
INFO:tensorflow:global step 113740: loss = 0.0090 (0.166 sec/step)
I0724 06:08:17.859044 140531649939328 learning.py:512] global step 113740: loss = 0.0090 (0.166 sec/step)
INFO:tensorflow:global step 113741: loss = 0.0693 (0.186 sec/step)
I0724 06:08:18.046879 140531649939328 learning.py:512] global step 113741: loss = 0.0693 (0.186 sec/step)
INFO:tensorflow:global step 113742: loss = 0.0065 (0.162 sec/step)
I0724 06:08:18.210406 140531649939328 learning.py:512] global step 113742: loss = 0.0065 (0.162 sec/step)
INFO:tensorflow:global step 113743: loss = 0.0331 (0.164 sec/step)
I0724 06:08:18.376031 140531649939328 learning.py:512] global step 113743: loss = 0.0331 (0.164 sec/step)
INFO:tensorflow:global step 113744: loss = 0.0176 (0.164 sec/step)
I0724 06:08:18.541652 140531649939328 learning.py:512] global step 113744: loss = 0.0176 (0.164 sec/step)
INFO:tensorflow:global step 113745: loss = 0.0197 (0.168 sec/step)
I0724 06:08:18.711138 140531649939328 learning.py:512] global step 113745: loss = 0.0197 (0.168 sec/step)
INFO:tensorflow:global step 113746: loss = 0.1311 (0.171 sec/step)
I0724 06:08:18.884156 140531649939328 learning.py:512] global step 113746: loss = 0.1311 (0.171 sec/step)
INFO:tensorflow:global step 113747: loss = 0.0678 (0.154 sec/step)
I0724 06:08:19.040036 140531649939328 learning.py:512] global step 113747: loss = 0.0678 (0.154 sec/step)
INFO:tensorflow:global step 113748: loss = 0.0156 (0.154 sec/step)
I0724 06:08:19.195922 140531649939328 learning.py:512] global step 113748: loss = 0.0156 (0.154 sec/step)
INFO:tensorflow:global step 113749: loss = 0.1585 (0.167 sec/step)
I0724 06:08:19.364207 140531649939328 learning.py:512] global step 113749: loss = 0.1585 (0.167 sec/step)
INFO:tensorflow:global step 113750: loss = 0.0327 (0.156 sec/step)
I0724 06:08:19.521459 140531649939328 learning.py:512] global step 113750: loss = 0.0327 (0.156 sec/step)
INFO:tensorflow:global step 113751: loss = 0.0686 (0.156 sec/step)
I0724 06:08:19.679310 140531649939328 learning.py:512] global step 113751: loss = 0.0686 (0.156 sec/step)
INFO:tensorflow:global step 113752: loss = 0.0206 (0.180 sec/step)
I0724 06:08:19.860693 140531649939328 learning.py:512] global step 113752: loss = 0.0206 (0.180 sec/step)
INFO:tensorflow:global step 113753: loss = 0.0213 (0.165 sec/step)
I0724 06:08:20.026976 140531649939328 learning.py:512] global step 113753: loss = 0.0213 (0.165 sec/step)
INFO:tensorflow:global step 113754: loss = 0.0206 (0.167 sec/step)
I0724 06:08:20.195877 140531649939328 learning.py:512] global step 113754: loss = 0.0206 (0.167 sec/step)
INFO:tensorflow:global step 113755: loss = 0.0098 (0.173 sec/step)
I0724 06:08:20.370170 140531649939328 learning.py:512] global step 113755: loss = 0.0098 (0.173 sec/step)
INFO:tensorflow:global step 113756: loss = 0.0107 (0.169 sec/step)
I0724 06:08:20.540753 140531649939328 learning.py:512] global step 113756: loss = 0.0107 (0.169 sec/step)
INFO:tensorflow:global step 113757: loss = 0.0283 (0.156 sec/step)
I0724 06:08:20.698508 140531649939328 learning.py:512] global step 113757: loss = 0.0283 (0.156 sec/step)
INFO:tensorflow:global step 113758: loss = 0.0238 (0.174 sec/step)
I0724 06:08:20.874506 140531649939328 learning.py:512] global step 113758: loss = 0.0238 (0.174 sec/step)
INFO:tensorflow:global step 113759: loss = 0.0270 (0.177 sec/step)
I0724 06:08:21.053103 140531649939328 learning.py:512] global step 113759: loss = 0.0270 (0.177 sec/step)
INFO:tensorflow:global step 113760: loss = 0.0096 (0.169 sec/step)
I0724 06:08:21.223745 140531649939328 learning.py:512] global step 113760: loss = 0.0096 (0.169 sec/step)
INFO:tensorflow:global step 113761: loss = 0.0173 (0.172 sec/step)
I0724 06:08:21.397766 140531649939328 learning.py:512] global step 113761: loss = 0.0173 (0.172 sec/step)
INFO:tensorflow:global step 113762: loss = 0.0052 (0.195 sec/step)
I0724 06:08:21.594368 140531649939328 learning.py:512] global step 113762: loss = 0.0052 (0.195 sec/step)
INFO:tensorflow:global step 113763: loss = 0.1159 (0.239 sec/step)
I0724 06:08:21.834888 140531649939328 learning.py:512] global step 113763: loss = 0.1159 (0.239 sec/step)
INFO:tensorflow:global step 113764: loss = 0.1020 (0.165 sec/step)
I0724 06:08:22.001161 140531649939328 learning.py:512] global step 113764: loss = 0.1020 (0.165 sec/step)
INFO:tensorflow:global step 113765: loss = 0.1358 (0.156 sec/step)
I0724 06:08:22.158750 140531649939328 learning.py:512] global step 113765: loss = 0.1358 (0.156 sec/step)
INFO:tensorflow:global step 113766: loss = 0.0081 (0.156 sec/step)
I0724 06:08:22.316648 140531649939328 learning.py:512] global step 113766: loss = 0.0081 (0.156 sec/step)
INFO:tensorflow:global step 113767: loss = 0.0159 (0.160 sec/step)
I0724 06:08:22.477875 140531649939328 learning.py:512] global step 113767: loss = 0.0159 (0.160 sec/step)
INFO:tensorflow:global step 113768: loss = 0.0202 (0.160 sec/step)
I0724 06:08:22.639678 140531649939328 learning.py:512] global step 113768: loss = 0.0202 (0.160 sec/step)
INFO:tensorflow:global step 113769: loss = 0.0899 (0.167 sec/step)
I0724 06:08:22.808446 140531649939328 learning.py:512] global step 113769: loss = 0.0899 (0.167 sec/step)
INFO:tensorflow:global step 113770: loss = 0.0093 (0.164 sec/step)
I0724 06:08:22.974704 140531649939328 learning.py:512] global step 113770: loss = 0.0093 (0.164 sec/step)
INFO:tensorflow:global step 113771: loss = 0.0072 (0.152 sec/step)
I0724 06:08:23.127604 140531649939328 learning.py:512] global step 113771: loss = 0.0072 (0.152 sec/step)
INFO:tensorflow:global step 113772: loss = 0.0078 (0.178 sec/step)
I0724 06:08:23.307299 140531649939328 learning.py:512] global step 113772: loss = 0.0078 (0.178 sec/step)
INFO:tensorflow:global step 113773: loss = 0.0073 (0.177 sec/step)
I0724 06:08:23.486034 140531649939328 learning.py:512] global step 113773: loss = 0.0073 (0.177 sec/step)
INFO:tensorflow:global step 113774: loss = 0.0209 (0.155 sec/step)
I0724 06:08:23.642612 140531649939328 learning.py:512] global step 113774: loss = 0.0209 (0.155 sec/step)
INFO:tensorflow:global step 113775: loss = 0.0241 (0.164 sec/step)
I0724 06:08:23.807721 140531649939328 learning.py:512] global step 113775: loss = 0.0241 (0.164 sec/step)
INFO:tensorflow:global step 113776: loss = 0.0673 (0.159 sec/step)
I0724 06:08:23.967769 140531649939328 learning.py:512] global step 113776: loss = 0.0673 (0.159 sec/step)
INFO:tensorflow:global step 113777: loss = 0.0527 (0.161 sec/step)
I0724 06:08:24.130449 140531649939328 learning.py:512] global step 113777: loss = 0.0527 (0.161 sec/step)
INFO:tensorflow:global step 113778: loss = 0.0024 (0.193 sec/step)
I0724 06:08:24.325240 140531649939328 learning.py:512] global step 113778: loss = 0.0024 (0.193 sec/step)
INFO:tensorflow:global step 113779: loss = 0.0165 (0.179 sec/step)
I0724 06:08:24.505421 140531649939328 learning.py:512] global step 113779: loss = 0.0165 (0.179 sec/step)
INFO:tensorflow:global step 113780: loss = 0.1695 (0.162 sec/step)
I0724 06:08:24.669134 140531649939328 learning.py:512] global step 113780: loss = 0.1695 (0.162 sec/step)
INFO:tensorflow:global step 113781: loss = 0.0161 (0.162 sec/step)
I0724 06:08:24.832612 140531649939328 learning.py:512] global step 113781: loss = 0.0161 (0.162 sec/step)
INFO:tensorflow:global step 113782: loss = 0.0261 (0.209 sec/step)
I0724 06:08:25.043179 140531649939328 learning.py:512] global step 113782: loss = 0.0261 (0.209 sec/step)
INFO:tensorflow:global step 113783: loss = 0.0204 (0.158 sec/step)
I0724 06:08:25.203735 140531649939328 learning.py:512] global step 113783: loss = 0.0204 (0.158 sec/step)
INFO:tensorflow:global step 113784: loss = 0.0164 (0.173 sec/step)
I0724 06:08:25.378426 140531649939328 learning.py:512] global step 113784: loss = 0.0164 (0.173 sec/step)
INFO:tensorflow:global step 113785: loss = 0.0367 (0.155 sec/step)
I0724 06:08:25.534703 140531649939328 learning.py:512] global step 113785: loss = 0.0367 (0.155 sec/step)
INFO:tensorflow:global step 113786: loss = 0.0168 (0.175 sec/step)
I0724 06:08:25.710886 140531649939328 learning.py:512] global step 113786: loss = 0.0168 (0.175 sec/step)
INFO:tensorflow:global step 113787: loss = 0.0417 (0.189 sec/step)
I0724 06:08:25.902288 140531649939328 learning.py:512] global step 113787: loss = 0.0417 (0.189 sec/step)
INFO:tensorflow:global step 113788: loss = 0.0079 (0.249 sec/step)
I0724 06:08:26.153979 140531649939328 learning.py:512] global step 113788: loss = 0.0079 (0.249 sec/step)
INFO:tensorflow:global step 113789: loss = 0.0328 (0.246 sec/step)
I0724 06:08:26.402284 140531649939328 learning.py:512] global step 113789: loss = 0.0328 (0.246 sec/step)
INFO:tensorflow:global step 113790: loss = 0.0142 (0.193 sec/step)
I0724 06:08:26.596649 140531649939328 learning.py:512] global step 113790: loss = 0.0142 (0.193 sec/step)
INFO:tensorflow:global step 113791: loss = 0.0304 (0.159 sec/step)
I0724 06:08:26.757403 140531649939328 learning.py:512] global step 113791: loss = 0.0304 (0.159 sec/step)
INFO:tensorflow:global step 113792: loss = 0.0462 (0.162 sec/step)
I0724 06:08:26.920252 140531649939328 learning.py:512] global step 113792: loss = 0.0462 (0.162 sec/step)
INFO:tensorflow:global step 113793: loss = 0.2124 (0.151 sec/step)
I0724 06:08:27.072987 140531649939328 learning.py:512] global step 113793: loss = 0.2124 (0.151 sec/step)
INFO:tensorflow:global step 113794: loss = 0.0356 (0.163 sec/step)
I0724 06:08:27.237376 140531649939328 learning.py:512] global step 113794: loss = 0.0356 (0.163 sec/step)
INFO:tensorflow:global step 113795: loss = 0.0270 (0.199 sec/step)
I0724 06:08:27.438453 140531649939328 learning.py:512] global step 113795: loss = 0.0270 (0.199 sec/step)
INFO:tensorflow:global step 113796: loss = 0.0294 (0.167 sec/step)
I0724 06:08:27.607434 140531649939328 learning.py:512] global step 113796: loss = 0.0294 (0.167 sec/step)
INFO:tensorflow:global step 113797: loss = 0.0697 (0.152 sec/step)
I0724 06:08:27.760923 140531649939328 learning.py:512] global step 113797: loss = 0.0697 (0.152 sec/step)
INFO:tensorflow:global step 113798: loss = 0.0143 (0.186 sec/step)
I0724 06:08:27.948411 140531649939328 learning.py:512] global step 113798: loss = 0.0143 (0.186 sec/step)
INFO:tensorflow:global step 113799: loss = 0.0186 (0.169 sec/step)
I0724 06:08:28.119099 140531649939328 learning.py:512] global step 113799: loss = 0.0186 (0.169 sec/step)
INFO:tensorflow:global step 113800: loss = 0.0210 (0.167 sec/step)
I0724 06:08:28.288269 140531649939328 learning.py:512] global step 113800: loss = 0.0210 (0.167 sec/step)
INFO:tensorflow:global step 113801: loss = 0.0251 (0.172 sec/step)
I0724 06:08:28.461699 140531649939328 learning.py:512] global step 113801: loss = 0.0251 (0.172 sec/step)
INFO:tensorflow:global step 113802: loss = 0.0502 (0.164 sec/step)
I0724 06:08:28.626717 140531649939328 learning.py:512] global step 113802: loss = 0.0502 (0.164 sec/step)
INFO:tensorflow:global step 113803: loss = 0.0177 (0.148 sec/step)
I0724 06:08:28.776694 140531649939328 learning.py:512] global step 113803: loss = 0.0177 (0.148 sec/step)
INFO:tensorflow:global step 113804: loss = 0.0189 (0.174 sec/step)
I0724 06:08:28.951822 140531649939328 learning.py:512] global step 113804: loss = 0.0189 (0.174 sec/step)
INFO:tensorflow:global step 113805: loss = 0.0250 (0.178 sec/step)
I0724 06:08:29.131421 140531649939328 learning.py:512] global step 113805: loss = 0.0250 (0.178 sec/step)
INFO:tensorflow:global step 113806: loss = 0.0087 (0.173 sec/step)
I0724 06:08:29.307129 140531649939328 learning.py:512] global step 113806: loss = 0.0087 (0.173 sec/step)
INFO:tensorflow:global step 113807: loss = 0.0105 (0.167 sec/step)
I0724 06:08:29.475397 140531649939328 learning.py:512] global step 113807: loss = 0.0105 (0.167 sec/step)
INFO:tensorflow:global step 113808: loss = 0.0039 (0.161 sec/step)
I0724 06:08:29.637600 140531649939328 learning.py:512] global step 113808: loss = 0.0039 (0.161 sec/step)
INFO:tensorflow:global step 113809: loss = 0.0203 (0.155 sec/step)
I0724 06:08:29.794192 140531649939328 learning.py:512] global step 113809: loss = 0.0203 (0.155 sec/step)
INFO:tensorflow:global step 113810: loss = 0.0057 (0.177 sec/step)
I0724 06:08:29.972376 140531649939328 learning.py:512] global step 113810: loss = 0.0057 (0.177 sec/step)
INFO:tensorflow:global step 113811: loss = 0.0296 (0.166 sec/step)
I0724 06:08:30.139554 140531649939328 learning.py:512] global step 113811: loss = 0.0296 (0.166 sec/step)
INFO:tensorflow:global step 113812: loss = 0.0187 (0.153 sec/step)
I0724 06:08:30.294021 140531649939328 learning.py:512] global step 113812: loss = 0.0187 (0.153 sec/step)
INFO:tensorflow:global step 113813: loss = 0.0252 (0.147 sec/step)
I0724 06:08:30.442544 140531649939328 learning.py:512] global step 113813: loss = 0.0252 (0.147 sec/step)
INFO:tensorflow:global step 113814: loss = 0.0225 (0.148 sec/step)
I0724 06:08:30.592451 140531649939328 learning.py:512] global step 113814: loss = 0.0225 (0.148 sec/step)
INFO:tensorflow:global step 113815: loss = 0.0201 (0.164 sec/step)
I0724 06:08:30.758008 140531649939328 learning.py:512] global step 113815: loss = 0.0201 (0.164 sec/step)
INFO:tensorflow:global step 113816: loss = 0.0304 (0.167 sec/step)
I0724 06:08:30.926827 140531649939328 learning.py:512] global step 113816: loss = 0.0304 (0.167 sec/step)
INFO:tensorflow:global step 113817: loss = 0.0209 (0.149 sec/step)
I0724 06:08:31.077246 140531649939328 learning.py:512] global step 113817: loss = 0.0209 (0.149 sec/step)
INFO:tensorflow:global step 113818: loss = 0.0284 (0.150 sec/step)
I0724 06:08:31.228552 140531649939328 learning.py:512] global step 113818: loss = 0.0284 (0.150 sec/step)
INFO:tensorflow:global step 113819: loss = 0.0217 (0.179 sec/step)
I0724 06:08:31.409253 140531649939328 learning.py:512] global step 113819: loss = 0.0217 (0.179 sec/step)
INFO:tensorflow:global step 113820: loss = 0.0553 (0.166 sec/step)
I0724 06:08:31.577240 140531649939328 learning.py:512] global step 113820: loss = 0.0553 (0.166 sec/step)
INFO:tensorflow:global step 113821: loss = 0.0044 (0.148 sec/step)
I0724 06:08:31.726777 140531649939328 learning.py:512] global step 113821: loss = 0.0044 (0.148 sec/step)
INFO:tensorflow:global step 113822: loss = 0.0840 (0.150 sec/step)
I0724 06:08:31.878757 140531649939328 learning.py:512] global step 113822: loss = 0.0840 (0.150 sec/step)
INFO:tensorflow:global step 113823: loss = 0.0114 (0.166 sec/step)
I0724 06:08:32.046782 140531649939328 learning.py:512] global step 113823: loss = 0.0114 (0.166 sec/step)
INFO:tensorflow:global step 113824: loss = 0.0088 (0.156 sec/step)
I0724 06:08:32.204609 140531649939328 learning.py:512] global step 113824: loss = 0.0088 (0.156 sec/step)
INFO:tensorflow:global step 113825: loss = 0.0960 (0.156 sec/step)
I0724 06:08:32.363313 140531649939328 learning.py:512] global step 113825: loss = 0.0960 (0.156 sec/step)
INFO:tensorflow:global step 113826: loss = 0.0156 (0.188 sec/step)
I0724 06:08:32.552586 140531649939328 learning.py:512] global step 113826: loss = 0.0156 (0.188 sec/step)
INFO:tensorflow:global step 113827: loss = 0.0142 (0.154 sec/step)
I0724 06:08:32.707784 140531649939328 learning.py:512] global step 113827: loss = 0.0142 (0.154 sec/step)
INFO:tensorflow:global step 113828: loss = 0.1390 (0.153 sec/step)
I0724 06:08:32.861878 140531649939328 learning.py:512] global step 113828: loss = 0.1390 (0.153 sec/step)
INFO:tensorflow:global step 113829: loss = 0.0114 (0.169 sec/step)
I0724 06:08:33.031967 140531649939328 learning.py:512] global step 113829: loss = 0.0114 (0.169 sec/step)
INFO:tensorflow:global step 113830: loss = 0.0579 (0.165 sec/step)
I0724 06:08:33.197969 140531649939328 learning.py:512] global step 113830: loss = 0.0579 (0.165 sec/step)
INFO:tensorflow:global step 113831: loss = 0.0608 (0.154 sec/step)
I0724 06:08:33.353701 140531649939328 learning.py:512] global step 113831: loss = 0.0608 (0.154 sec/step)
INFO:tensorflow:global step 113832: loss = 0.0046 (0.174 sec/step)
I0724 06:08:33.528726 140531649939328 learning.py:512] global step 113832: loss = 0.0046 (0.174 sec/step)
INFO:tensorflow:global step 113833: loss = 0.0802 (0.169 sec/step)
I0724 06:08:33.699365 140531649939328 learning.py:512] global step 113833: loss = 0.0802 (0.169 sec/step)
INFO:tensorflow:global step 113834: loss = 0.0945 (0.149 sec/step)
I0724 06:08:33.849568 140531649939328 learning.py:512] global step 113834: loss = 0.0945 (0.149 sec/step)
INFO:tensorflow:global step 113835: loss = 0.0223 (0.162 sec/step)
I0724 06:08:34.012971 140531649939328 learning.py:512] global step 113835: loss = 0.0223 (0.162 sec/step)
INFO:tensorflow:global step 113836: loss = 0.0897 (0.157 sec/step)
I0724 06:08:34.171648 140531649939328 learning.py:512] global step 113836: loss = 0.0897 (0.157 sec/step)
INFO:tensorflow:global step 113837: loss = 0.1071 (0.171 sec/step)
I0724 06:08:34.344650 140531649939328 learning.py:512] global step 113837: loss = 0.1071 (0.171 sec/step)
INFO:tensorflow:global step 113838: loss = 0.0041 (0.157 sec/step)
I0724 06:08:34.502547 140531649939328 learning.py:512] global step 113838: loss = 0.0041 (0.157 sec/step)
INFO:tensorflow:global step 113839: loss = 0.0131 (0.153 sec/step)
I0724 06:08:34.656568 140531649939328 learning.py:512] global step 113839: loss = 0.0131 (0.153 sec/step)
INFO:tensorflow:global step 113840: loss = 0.0192 (0.159 sec/step)
I0724 06:08:34.817535 140531649939328 learning.py:512] global step 113840: loss = 0.0192 (0.159 sec/step)
INFO:tensorflow:global step 113841: loss = 0.0043 (0.149 sec/step)
I0724 06:08:34.971021 140531649939328 learning.py:512] global step 113841: loss = 0.0043 (0.149 sec/step)
INFO:tensorflow:global step 113842: loss = 0.0197 (0.177 sec/step)
I0724 06:08:35.149358 140531649939328 learning.py:512] global step 113842: loss = 0.0197 (0.177 sec/step)
INFO:tensorflow:global step 113843: loss = 0.0330 (0.154 sec/step)
I0724 06:08:35.304622 140531649939328 learning.py:512] global step 113843: loss = 0.0330 (0.154 sec/step)
INFO:tensorflow:global step 113844: loss = 0.1115 (0.169 sec/step)
I0724 06:08:35.475233 140531649939328 learning.py:512] global step 113844: loss = 0.1115 (0.169 sec/step)
INFO:tensorflow:global step 113845: loss = 0.0283 (0.163 sec/step)
I0724 06:08:35.639861 140531649939328 learning.py:512] global step 113845: loss = 0.0283 (0.163 sec/step)
INFO:tensorflow:global step 113846: loss = 0.0083 (0.179 sec/step)
I0724 06:08:35.820308 140531649939328 learning.py:512] global step 113846: loss = 0.0083 (0.179 sec/step)
INFO:tensorflow:global step 113847: loss = 0.0279 (0.164 sec/step)
I0724 06:08:35.986069 140531649939328 learning.py:512] global step 113847: loss = 0.0279 (0.164 sec/step)
INFO:tensorflow:global step 113848: loss = 0.0450 (0.158 sec/step)
I0724 06:08:36.145690 140531649939328 learning.py:512] global step 113848: loss = 0.0450 (0.158 sec/step)
INFO:tensorflow:global step 113849: loss = 0.0590 (0.151 sec/step)
I0724 06:08:36.298269 140531649939328 learning.py:512] global step 113849: loss = 0.0590 (0.151 sec/step)
INFO:tensorflow:global step 113850: loss = 0.0188 (0.161 sec/step)
I0724 06:08:36.460087 140531649939328 learning.py:512] global step 113850: loss = 0.0188 (0.161 sec/step)
INFO:tensorflow:global step 113851: loss = 0.0318 (0.174 sec/step)
I0724 06:08:36.635625 140531649939328 learning.py:512] global step 113851: loss = 0.0318 (0.174 sec/step)
INFO:tensorflow:global step 113852: loss = 0.0137 (0.148 sec/step)
I0724 06:08:36.784935 140531649939328 learning.py:512] global step 113852: loss = 0.0137 (0.148 sec/step)
INFO:tensorflow:global step 113853: loss = 0.0803 (0.152 sec/step)
I0724 06:08:36.938746 140531649939328 learning.py:512] global step 113853: loss = 0.0803 (0.152 sec/step)
INFO:tensorflow:global step 113854: loss = 0.0328 (0.169 sec/step)
I0724 06:08:37.109398 140531649939328 learning.py:512] global step 113854: loss = 0.0328 (0.169 sec/step)
INFO:tensorflow:global step 113855: loss = 0.0116 (0.160 sec/step)
I0724 06:08:37.270490 140531649939328 learning.py:512] global step 113855: loss = 0.0116 (0.160 sec/step)
INFO:tensorflow:global step 113856: loss = 0.0218 (0.161 sec/step)
I0724 06:08:37.432986 140531649939328 learning.py:512] global step 113856: loss = 0.0218 (0.161 sec/step)
INFO:tensorflow:global step 113857: loss = 0.0972 (0.165 sec/step)
I0724 06:08:37.599781 140531649939328 learning.py:512] global step 113857: loss = 0.0972 (0.165 sec/step)
INFO:tensorflow:global step 113858: loss = 0.1125 (0.145 sec/step)
I0724 06:08:37.746350 140531649939328 learning.py:512] global step 113858: loss = 0.1125 (0.145 sec/step)
INFO:tensorflow:global step 113859: loss = 0.0090 (0.144 sec/step)
I0724 06:08:37.892135 140531649939328 learning.py:512] global step 113859: loss = 0.0090 (0.144 sec/step)
INFO:tensorflow:global step 113860: loss = 0.0272 (0.162 sec/step)
I0724 06:08:38.055737 140531649939328 learning.py:512] global step 113860: loss = 0.0272 (0.162 sec/step)
INFO:tensorflow:global step 113861: loss = 0.0714 (0.142 sec/step)
I0724 06:08:38.199379 140531649939328 learning.py:512] global step 113861: loss = 0.0714 (0.142 sec/step)
INFO:tensorflow:global step 113862: loss = 0.0116 (0.167 sec/step)
I0724 06:08:38.367335 140531649939328 learning.py:512] global step 113862: loss = 0.0116 (0.167 sec/step)
INFO:tensorflow:global step 113863: loss = 0.0165 (0.167 sec/step)
I0724 06:08:38.535638 140531649939328 learning.py:512] global step 113863: loss = 0.0165 (0.167 sec/step)
INFO:tensorflow:global step 113864: loss = 0.0167 (0.170 sec/step)
I0724 06:08:38.706975 140531649939328 learning.py:512] global step 113864: loss = 0.0167 (0.170 sec/step)
INFO:tensorflow:global step 113865: loss = 0.0182 (0.156 sec/step)
I0724 06:08:38.864717 140531649939328 learning.py:512] global step 113865: loss = 0.0182 (0.156 sec/step)
INFO:tensorflow:global step 113866: loss = 0.0094 (0.168 sec/step)
I0724 06:08:39.033934 140531649939328 learning.py:512] global step 113866: loss = 0.0094 (0.168 sec/step)
INFO:tensorflow:global step 113867: loss = 0.0529 (0.166 sec/step)
I0724 06:08:39.202057 140531649939328 learning.py:512] global step 113867: loss = 0.0529 (0.166 sec/step)
INFO:tensorflow:global step 113868: loss = 0.0576 (0.167 sec/step)
I0724 06:08:39.370890 140531649939328 learning.py:512] global step 113868: loss = 0.0576 (0.167 sec/step)
INFO:tensorflow:global step 113869: loss = 0.0152 (0.173 sec/step)
I0724 06:08:39.545639 140531649939328 learning.py:512] global step 113869: loss = 0.0152 (0.173 sec/step)
INFO:tensorflow:global step 113870: loss = 0.0886 (0.158 sec/step)
I0724 06:08:39.705044 140531649939328 learning.py:512] global step 113870: loss = 0.0886 (0.158 sec/step)
INFO:tensorflow:global step 113871: loss = 0.0517 (0.151 sec/step)
I0724 06:08:39.857579 140531649939328 learning.py:512] global step 113871: loss = 0.0517 (0.151 sec/step)
INFO:tensorflow:global step 113872: loss = 0.0304 (0.152 sec/step)
I0724 06:08:40.010771 140531649939328 learning.py:512] global step 113872: loss = 0.0304 (0.152 sec/step)
INFO:tensorflow:global step 113873: loss = 0.0137 (0.166 sec/step)
I0724 06:08:40.178012 140531649939328 learning.py:512] global step 113873: loss = 0.0137 (0.166 sec/step)
INFO:tensorflow:global step 113874: loss = 0.0127 (0.153 sec/step)
I0724 06:08:40.332705 140531649939328 learning.py:512] global step 113874: loss = 0.0127 (0.153 sec/step)
INFO:tensorflow:global step 113875: loss = 0.2165 (0.149 sec/step)
I0724 06:08:40.483119 140531649939328 learning.py:512] global step 113875: loss = 0.2165 (0.149 sec/step)
INFO:tensorflow:global step 113876: loss = 0.1258 (0.153 sec/step)
I0724 06:08:40.638091 140531649939328 learning.py:512] global step 113876: loss = 0.1258 (0.153 sec/step)
INFO:tensorflow:global step 113877: loss = 0.0078 (0.172 sec/step)
I0724 06:08:40.811280 140531649939328 learning.py:512] global step 113877: loss = 0.0078 (0.172 sec/step)
INFO:tensorflow:global step 113878: loss = 0.0217 (0.155 sec/step)
I0724 06:08:40.967929 140531649939328 learning.py:512] global step 113878: loss = 0.0217 (0.155 sec/step)
INFO:tensorflow:global step 113879: loss = 0.1030 (0.155 sec/step)
I0724 06:08:41.124557 140531649939328 learning.py:512] global step 113879: loss = 0.1030 (0.155 sec/step)
INFO:tensorflow:global step 113880: loss = 0.0569 (0.170 sec/step)
I0724 06:08:41.295764 140531649939328 learning.py:512] global step 113880: loss = 0.0569 (0.170 sec/step)
INFO:tensorflow:global step 113881: loss = 0.0238 (0.160 sec/step)
I0724 06:08:41.457336 140531649939328 learning.py:512] global step 113881: loss = 0.0238 (0.160 sec/step)
INFO:tensorflow:global step 113882: loss = 0.0234 (0.154 sec/step)
I0724 06:08:41.612643 140531649939328 learning.py:512] global step 113882: loss = 0.0234 (0.154 sec/step)
INFO:tensorflow:global step 113883: loss = 0.0252 (0.150 sec/step)
I0724 06:08:41.763903 140531649939328 learning.py:512] global step 113883: loss = 0.0252 (0.150 sec/step)
INFO:tensorflow:global step 113884: loss = 0.0855 (0.154 sec/step)
I0724 06:08:41.918793 140531649939328 learning.py:512] global step 113884: loss = 0.0855 (0.154 sec/step)
INFO:tensorflow:global step 113885: loss = 0.0815 (0.167 sec/step)
I0724 06:08:42.087339 140531649939328 learning.py:512] global step 113885: loss = 0.0815 (0.167 sec/step)
INFO:tensorflow:global step 113886: loss = 0.0316 (0.174 sec/step)
I0724 06:08:42.262406 140531649939328 learning.py:512] global step 113886: loss = 0.0316 (0.174 sec/step)
INFO:tensorflow:global step 113887: loss = 0.0354 (0.174 sec/step)
I0724 06:08:42.437673 140531649939328 learning.py:512] global step 113887: loss = 0.0354 (0.174 sec/step)
INFO:tensorflow:global step 113888: loss = 0.0081 (0.146 sec/step)
I0724 06:08:42.584634 140531649939328 learning.py:512] global step 113888: loss = 0.0081 (0.146 sec/step)
INFO:tensorflow:global step 113889: loss = 0.0993 (0.186 sec/step)
I0724 06:08:42.772327 140531649939328 learning.py:512] global step 113889: loss = 0.0993 (0.186 sec/step)
INFO:tensorflow:global step 113890: loss = 0.1004 (0.160 sec/step)
I0724 06:08:42.933581 140531649939328 learning.py:512] global step 113890: loss = 0.1004 (0.160 sec/step)
INFO:tensorflow:global step 113891: loss = 0.0361 (0.158 sec/step)
I0724 06:08:43.094261 140531649939328 learning.py:512] global step 113891: loss = 0.0361 (0.158 sec/step)
INFO:tensorflow:global step 113892: loss = 0.0070 (0.164 sec/step)
I0724 06:08:43.264142 140531649939328 learning.py:512] global step 113892: loss = 0.0070 (0.164 sec/step)
INFO:tensorflow:global step 113893: loss = 0.0055 (0.177 sec/step)
I0724 06:08:43.442798 140531649939328 learning.py:512] global step 113893: loss = 0.0055 (0.177 sec/step)
INFO:tensorflow:global step 113894: loss = 0.0131 (0.169 sec/step)
I0724 06:08:43.613423 140531649939328 learning.py:512] global step 113894: loss = 0.0131 (0.169 sec/step)
INFO:tensorflow:global step 113895: loss = 0.0242 (0.173 sec/step)
I0724 06:08:43.787972 140531649939328 learning.py:512] global step 113895: loss = 0.0242 (0.173 sec/step)
INFO:tensorflow:global step 113896: loss = 0.0231 (0.156 sec/step)
I0724 06:08:43.945509 140531649939328 learning.py:512] global step 113896: loss = 0.0231 (0.156 sec/step)
INFO:tensorflow:global step 113897: loss = 0.0660 (0.175 sec/step)
I0724 06:08:44.121511 140531649939328 learning.py:512] global step 113897: loss = 0.0660 (0.175 sec/step)
INFO:tensorflow:global step 113898: loss = 0.0571 (0.162 sec/step)
I0724 06:08:44.284502 140531649939328 learning.py:512] global step 113898: loss = 0.0571 (0.162 sec/step)
INFO:tensorflow:global step 113899: loss = 0.0185 (0.147 sec/step)
I0724 06:08:44.432580 140531649939328 learning.py:512] global step 113899: loss = 0.0185 (0.147 sec/step)
INFO:tensorflow:global step 113900: loss = 0.0125 (0.151 sec/step)
I0724 06:08:44.585160 140531649939328 learning.py:512] global step 113900: loss = 0.0125 (0.151 sec/step)
INFO:tensorflow:global step 113901: loss = 0.0597 (0.175 sec/step)
I0724 06:08:44.761379 140531649939328 learning.py:512] global step 113901: loss = 0.0597 (0.175 sec/step)
INFO:tensorflow:global step 113902: loss = 0.0322 (0.159 sec/step)
I0724 06:08:44.922318 140531649939328 learning.py:512] global step 113902: loss = 0.0322 (0.159 sec/step)
INFO:tensorflow:global step 113903: loss = 0.0312 (0.169 sec/step)
I0724 06:08:45.092239 140531649939328 learning.py:512] global step 113903: loss = 0.0312 (0.169 sec/step)
INFO:tensorflow:global step 113904: loss = 0.0144 (0.159 sec/step)
I0724 06:08:45.252224 140531649939328 learning.py:512] global step 113904: loss = 0.0144 (0.159 sec/step)
INFO:tensorflow:global step 113905: loss = 0.0254 (0.159 sec/step)
I0724 06:08:45.412948 140531649939328 learning.py:512] global step 113905: loss = 0.0254 (0.159 sec/step)
INFO:tensorflow:global step 113906: loss = 0.0134 (0.166 sec/step)
I0724 06:08:45.579984 140531649939328 learning.py:512] global step 113906: loss = 0.0134 (0.166 sec/step)
INFO:tensorflow:global step 113907: loss = 0.0940 (0.169 sec/step)
I0724 06:08:45.751276 140531649939328 learning.py:512] global step 113907: loss = 0.0940 (0.169 sec/step)
INFO:tensorflow:global step 113908: loss = 0.0252 (0.185 sec/step)
I0724 06:08:45.938049 140531649939328 learning.py:512] global step 113908: loss = 0.0252 (0.185 sec/step)
INFO:tensorflow:global step 113909: loss = 0.1583 (0.162 sec/step)
I0724 06:08:46.101055 140531649939328 learning.py:512] global step 113909: loss = 0.1583 (0.162 sec/step)
INFO:tensorflow:global step 113910: loss = 0.0177 (0.167 sec/step)
I0724 06:08:46.269930 140531649939328 learning.py:512] global step 113910: loss = 0.0177 (0.167 sec/step)
INFO:tensorflow:global step 113911: loss = 0.1152 (0.150 sec/step)
I0724 06:08:46.421260 140531649939328 learning.py:512] global step 113911: loss = 0.1152 (0.150 sec/step)
INFO:tensorflow:global step 113912: loss = 0.0197 (0.160 sec/step)
I0724 06:08:46.582637 140531649939328 learning.py:512] global step 113912: loss = 0.0197 (0.160 sec/step)
INFO:tensorflow:global step 113913: loss = 0.0175 (0.168 sec/step)
I0724 06:08:46.752082 140531649939328 learning.py:512] global step 113913: loss = 0.0175 (0.168 sec/step)
INFO:tensorflow:global step 113914: loss = 0.0009 (0.174 sec/step)
I0724 06:08:46.927065 140531649939328 learning.py:512] global step 113914: loss = 0.0009 (0.174 sec/step)
INFO:tensorflow:global step 113915: loss = 0.0037 (0.149 sec/step)
I0724 06:08:47.077571 140531649939328 learning.py:512] global step 113915: loss = 0.0037 (0.149 sec/step)
INFO:tensorflow:global step 113916: loss = 0.0650 (0.176 sec/step)
I0724 06:08:47.254947 140531649939328 learning.py:512] global step 113916: loss = 0.0650 (0.176 sec/step)
INFO:tensorflow:global step 113917: loss = 0.0515 (0.149 sec/step)
I0724 06:08:47.405486 140531649939328 learning.py:512] global step 113917: loss = 0.0515 (0.149 sec/step)
INFO:tensorflow:global step 113918: loss = 0.0808 (0.161 sec/step)
I0724 06:08:47.568125 140531649939328 learning.py:512] global step 113918: loss = 0.0808 (0.161 sec/step)
INFO:tensorflow:global step 113919: loss = 0.1705 (0.157 sec/step)
I0724 06:08:47.726115 140531649939328 learning.py:512] global step 113919: loss = 0.1705 (0.157 sec/step)
INFO:tensorflow:global step 113920: loss = 0.0340 (0.184 sec/step)
I0724 06:08:47.910903 140531649939328 learning.py:512] global step 113920: loss = 0.0340 (0.184 sec/step)
INFO:tensorflow:global step 113921: loss = 0.0140 (0.148 sec/step)
I0724 06:08:48.060064 140531649939328 learning.py:512] global step 113921: loss = 0.0140 (0.148 sec/step)
INFO:tensorflow:global step 113922: loss = 0.0167 (0.148 sec/step)
I0724 06:08:48.209060 140531649939328 learning.py:512] global step 113922: loss = 0.0167 (0.148 sec/step)
INFO:tensorflow:global step 113923: loss = 0.0120 (0.148 sec/step)
I0724 06:08:48.358081 140531649939328 learning.py:512] global step 113923: loss = 0.0120 (0.148 sec/step)
INFO:tensorflow:global step 113924: loss = 0.0545 (0.160 sec/step)
I0724 06:08:48.519092 140531649939328 learning.py:512] global step 113924: loss = 0.0545 (0.160 sec/step)
INFO:tensorflow:global step 113925: loss = 0.0433 (0.160 sec/step)
I0724 06:08:48.680391 140531649939328 learning.py:512] global step 113925: loss = 0.0433 (0.160 sec/step)
INFO:tensorflow:global step 113926: loss = 0.0058 (0.165 sec/step)
I0724 06:08:48.847131 140531649939328 learning.py:512] global step 113926: loss = 0.0058 (0.165 sec/step)
INFO:tensorflow:global step 113927: loss = 0.0229 (0.155 sec/step)
I0724 06:08:49.003309 140531649939328 learning.py:512] global step 113927: loss = 0.0229 (0.155 sec/step)
INFO:tensorflow:global step 113928: loss = 0.0288 (0.162 sec/step)
I0724 06:08:49.166288 140531649939328 learning.py:512] global step 113928: loss = 0.0288 (0.162 sec/step)
INFO:tensorflow:global step 113929: loss = 0.0121 (0.165 sec/step)
I0724 06:08:49.332787 140531649939328 learning.py:512] global step 113929: loss = 0.0121 (0.165 sec/step)
INFO:tensorflow:global step 113930: loss = 0.0102 (0.163 sec/step)
I0724 06:08:49.497254 140531649939328 learning.py:512] global step 113930: loss = 0.0102 (0.163 sec/step)
INFO:tensorflow:global step 113931: loss = 0.0068 (0.157 sec/step)
I0724 06:08:49.655535 140531649939328 learning.py:512] global step 113931: loss = 0.0068 (0.157 sec/step)
INFO:tensorflow:global step 113932: loss = 0.0307 (0.149 sec/step)
I0724 06:08:49.806500 140531649939328 learning.py:512] global step 113932: loss = 0.0307 (0.149 sec/step)
INFO:tensorflow:global step 113933: loss = 0.0126 (0.152 sec/step)
I0724 06:08:49.959866 140531649939328 learning.py:512] global step 113933: loss = 0.0126 (0.152 sec/step)
INFO:tensorflow:global step 113934: loss = 0.0443 (0.150 sec/step)
I0724 06:08:50.111475 140531649939328 learning.py:512] global step 113934: loss = 0.0443 (0.150 sec/step)
INFO:tensorflow:global step 113935: loss = 0.0330 (0.165 sec/step)
I0724 06:08:50.277589 140531649939328 learning.py:512] global step 113935: loss = 0.0330 (0.165 sec/step)
INFO:tensorflow:global step 113936: loss = 0.0126 (0.174 sec/step)
I0724 06:08:50.453114 140531649939328 learning.py:512] global step 113936: loss = 0.0126 (0.174 sec/step)
INFO:tensorflow:global step 113937: loss = 0.0161 (0.162 sec/step)
I0724 06:08:50.616012 140531649939328 learning.py:512] global step 113937: loss = 0.0161 (0.162 sec/step)
INFO:tensorflow:global step 113938: loss = 0.0166 (0.166 sec/step)
I0724 06:08:50.783592 140531649939328 learning.py:512] global step 113938: loss = 0.0166 (0.166 sec/step)
INFO:tensorflow:global step 113939: loss = 0.0118 (0.167 sec/step)
I0724 06:08:50.952225 140531649939328 learning.py:512] global step 113939: loss = 0.0118 (0.167 sec/step)
INFO:tensorflow:global step 113940: loss = 0.0036 (0.146 sec/step)
I0724 06:08:51.100231 140531649939328 learning.py:512] global step 113940: loss = 0.0036 (0.146 sec/step)
INFO:tensorflow:global step 113941: loss = 0.0203 (0.161 sec/step)
I0724 06:08:51.263242 140531649939328 learning.py:512] global step 113941: loss = 0.0203 (0.161 sec/step)
INFO:tensorflow:global step 113942: loss = 0.0201 (0.150 sec/step)
I0724 06:08:51.414356 140531649939328 learning.py:512] global step 113942: loss = 0.0201 (0.150 sec/step)
INFO:tensorflow:global step 113943: loss = 0.0229 (0.149 sec/step)
I0724 06:08:51.564672 140531649939328 learning.py:512] global step 113943: loss = 0.0229 (0.149 sec/step)
INFO:tensorflow:global step 113944: loss = 0.0101 (0.152 sec/step)
I0724 06:08:51.718561 140531649939328 learning.py:512] global step 113944: loss = 0.0101 (0.152 sec/step)
INFO:tensorflow:global step 113945: loss = 0.0076 (0.154 sec/step)
I0724 06:08:51.874411 140531649939328 learning.py:512] global step 113945: loss = 0.0076 (0.154 sec/step)
INFO:tensorflow:global step 113946: loss = 0.0519 (0.167 sec/step)
I0724 06:08:52.042804 140531649939328 learning.py:512] global step 113946: loss = 0.0519 (0.167 sec/step)
INFO:tensorflow:global step 113947: loss = 0.0167 (0.154 sec/step)
I0724 06:08:52.197933 140531649939328 learning.py:512] global step 113947: loss = 0.0167 (0.154 sec/step)
INFO:tensorflow:global step 113948: loss = 0.0817 (0.175 sec/step)
I0724 06:08:52.375913 140531649939328 learning.py:512] global step 113948: loss = 0.0817 (0.175 sec/step)
INFO:tensorflow:global step 113949: loss = 0.0640 (0.150 sec/step)
I0724 06:08:52.528003 140531649939328 learning.py:512] global step 113949: loss = 0.0640 (0.150 sec/step)
INFO:tensorflow:global step 113950: loss = 0.0351 (0.152 sec/step)
I0724 06:08:52.681626 140531649939328 learning.py:512] global step 113950: loss = 0.0351 (0.152 sec/step)
INFO:tensorflow:global step 113951: loss = 0.1423 (0.152 sec/step)
I0724 06:08:52.834488 140531649939328 learning.py:512] global step 113951: loss = 0.1423 (0.152 sec/step)
INFO:tensorflow:global step 113952: loss = 0.0164 (0.167 sec/step)
I0724 06:08:53.002997 140531649939328 learning.py:512] global step 113952: loss = 0.0164 (0.167 sec/step)
INFO:tensorflow:global step 113953: loss = 0.0220 (0.172 sec/step)
I0724 06:08:53.176217 140531649939328 learning.py:512] global step 113953: loss = 0.0220 (0.172 sec/step)
INFO:tensorflow:global step 113954: loss = 0.0030 (0.147 sec/step)
I0724 06:08:53.324224 140531649939328 learning.py:512] global step 113954: loss = 0.0030 (0.147 sec/step)
INFO:tensorflow:global step 113955: loss = 0.0151 (0.165 sec/step)
I0724 06:08:53.490632 140531649939328 learning.py:512] global step 113955: loss = 0.0151 (0.165 sec/step)
INFO:tensorflow:global step 113956: loss = 0.0123 (0.173 sec/step)
I0724 06:08:53.665068 140531649939328 learning.py:512] global step 113956: loss = 0.0123 (0.173 sec/step)
INFO:tensorflow:global step 113957: loss = 0.0398 (0.147 sec/step)
I0724 06:08:53.814118 140531649939328 learning.py:512] global step 113957: loss = 0.0398 (0.147 sec/step)
INFO:tensorflow:global step 113958: loss = 0.0062 (0.160 sec/step)
I0724 06:08:53.975368 140531649939328 learning.py:512] global step 113958: loss = 0.0062 (0.160 sec/step)
INFO:tensorflow:global step 113959: loss = 0.0546 (0.162 sec/step)
I0724 06:08:54.139077 140531649939328 learning.py:512] global step 113959: loss = 0.0546 (0.162 sec/step)
INFO:tensorflow:global step 113960: loss = 0.0403 (0.167 sec/step)
I0724 06:08:54.307070 140531649939328 learning.py:512] global step 113960: loss = 0.0403 (0.167 sec/step)
INFO:tensorflow:global step 113961: loss = 0.0807 (0.152 sec/step)
I0724 06:08:54.460710 140531649939328 learning.py:512] global step 113961: loss = 0.0807 (0.152 sec/step)
INFO:tensorflow:global step 113962: loss = 0.0953 (0.155 sec/step)
I0724 06:08:54.617745 140531649939328 learning.py:512] global step 113962: loss = 0.0953 (0.155 sec/step)
INFO:tensorflow:global step 113963: loss = 0.0352 (0.146 sec/step)
I0724 06:08:54.765593 140531649939328 learning.py:512] global step 113963: loss = 0.0352 (0.146 sec/step)
INFO:tensorflow:global step 113964: loss = 0.0558 (0.155 sec/step)
I0724 06:08:54.922262 140531649939328 learning.py:512] global step 113964: loss = 0.0558 (0.155 sec/step)
INFO:tensorflow:global step 113965: loss = 0.0450 (0.166 sec/step)
I0724 06:08:55.089436 140531649939328 learning.py:512] global step 113965: loss = 0.0450 (0.166 sec/step)
INFO:tensorflow:global step 113966: loss = 0.0440 (0.159 sec/step)
I0724 06:08:55.250222 140531649939328 learning.py:512] global step 113966: loss = 0.0440 (0.159 sec/step)
INFO:tensorflow:global step 113967: loss = 0.0196 (0.143 sec/step)
I0724 06:08:55.394963 140531649939328 learning.py:512] global step 113967: loss = 0.0196 (0.143 sec/step)
INFO:tensorflow:global step 113968: loss = 0.0054 (0.168 sec/step)
I0724 06:08:55.564781 140531649939328 learning.py:512] global step 113968: loss = 0.0054 (0.168 sec/step)
INFO:tensorflow:global step 113969: loss = 0.0170 (0.160 sec/step)
I0724 06:08:55.726148 140531649939328 learning.py:512] global step 113969: loss = 0.0170 (0.160 sec/step)
INFO:tensorflow:global step 113970: loss = 0.0428 (0.149 sec/step)
I0724 06:08:55.876203 140531649939328 learning.py:512] global step 113970: loss = 0.0428 (0.149 sec/step)
INFO:tensorflow:global step 113971: loss = 0.0667 (0.166 sec/step)
I0724 06:08:56.044137 140531649939328 learning.py:512] global step 113971: loss = 0.0667 (0.166 sec/step)
INFO:tensorflow:global step 113972: loss = 0.0078 (0.146 sec/step)
I0724 06:08:56.191690 140531649939328 learning.py:512] global step 113972: loss = 0.0078 (0.146 sec/step)
INFO:tensorflow:global step 113973: loss = 0.0461 (0.166 sec/step)
I0724 06:08:56.359208 140531649939328 learning.py:512] global step 113973: loss = 0.0461 (0.166 sec/step)
INFO:tensorflow:global step 113974: loss = 0.0155 (0.164 sec/step)
I0724 06:08:56.525002 140531649939328 learning.py:512] global step 113974: loss = 0.0155 (0.164 sec/step)
INFO:tensorflow:global step 113975: loss = 0.0777 (0.150 sec/step)
I0724 06:08:56.675826 140531649939328 learning.py:512] global step 113975: loss = 0.0777 (0.150 sec/step)
INFO:tensorflow:global step 113976: loss = 0.0195 (0.196 sec/step)
I0724 06:08:56.873097 140531649939328 learning.py:512] global step 113976: loss = 0.0195 (0.196 sec/step)
INFO:tensorflow:global step 113977: loss = 0.0165 (0.239 sec/step)
I0724 06:08:57.114170 140531649939328 learning.py:512] global step 113977: loss = 0.0165 (0.239 sec/step)
INFO:tensorflow:global step 113978: loss = 0.0099 (0.212 sec/step)
I0724 06:08:57.328038 140531649939328 learning.py:512] global step 113978: loss = 0.0099 (0.212 sec/step)
INFO:tensorflow:global step 113979: loss = 0.0665 (0.238 sec/step)
I0724 06:08:57.571143 140531649939328 learning.py:512] global step 113979: loss = 0.0665 (0.238 sec/step)
INFO:tensorflow:global step 113980: loss = 0.0813 (0.155 sec/step)
I0724 06:08:57.727105 140531649939328 learning.py:512] global step 113980: loss = 0.0813 (0.155 sec/step)
INFO:tensorflow:global step 113981: loss = 0.0471 (0.158 sec/step)
I0724 06:08:57.886600 140531649939328 learning.py:512] global step 113981: loss = 0.0471 (0.158 sec/step)
INFO:tensorflow:global step 113982: loss = 0.0647 (0.174 sec/step)
I0724 06:08:58.062394 140531649939328 learning.py:512] global step 113982: loss = 0.0647 (0.174 sec/step)
INFO:tensorflow:global step 113983: loss = 0.0120 (0.161 sec/step)
I0724 06:08:58.224636 140531649939328 learning.py:512] global step 113983: loss = 0.0120 (0.161 sec/step)
INFO:tensorflow:global step 113984: loss = 0.0269 (0.165 sec/step)
I0724 06:08:58.391250 140531649939328 learning.py:512] global step 113984: loss = 0.0269 (0.165 sec/step)
INFO:tensorflow:global step 113985: loss = 0.0267 (0.168 sec/step)
I0724 06:08:58.560369 140531649939328 learning.py:512] global step 113985: loss = 0.0267 (0.168 sec/step)
INFO:tensorflow:global step 113986: loss = 0.0147 (0.169 sec/step)
I0724 06:08:58.730567 140531649939328 learning.py:512] global step 113986: loss = 0.0147 (0.169 sec/step)
INFO:tensorflow:global step 113987: loss = 0.0154 (0.151 sec/step)
I0724 06:08:58.883008 140531649939328 learning.py:512] global step 113987: loss = 0.0154 (0.151 sec/step)
INFO:tensorflow:global step 113988: loss = 0.0557 (0.177 sec/step)
I0724 06:08:59.061085 140531649939328 learning.py:512] global step 113988: loss = 0.0557 (0.177 sec/step)
INFO:tensorflow:global step 113989: loss = 0.0237 (0.190 sec/step)
I0724 06:08:59.252306 140531649939328 learning.py:512] global step 113989: loss = 0.0237 (0.190 sec/step)
INFO:tensorflow:global step 113990: loss = 0.0200 (0.169 sec/step)
I0724 06:08:59.422760 140531649939328 learning.py:512] global step 113990: loss = 0.0200 (0.169 sec/step)
INFO:tensorflow:global step 113991: loss = 0.0155 (0.159 sec/step)
I0724 06:08:59.583394 140531649939328 learning.py:512] global step 113991: loss = 0.0155 (0.159 sec/step)
INFO:tensorflow:global step 113992: loss = 0.0152 (0.158 sec/step)
I0724 06:08:59.742933 140531649939328 learning.py:512] global step 113992: loss = 0.0152 (0.158 sec/step)
INFO:tensorflow:global step 113993: loss = 0.0135 (0.159 sec/step)
I0724 06:08:59.903758 140531649939328 learning.py:512] global step 113993: loss = 0.0135 (0.159 sec/step)
INFO:tensorflow:global step 113994: loss = 0.0758 (0.181 sec/step)
I0724 06:09:00.086074 140531649939328 learning.py:512] global step 113994: loss = 0.0758 (0.181 sec/step)
INFO:tensorflow:global step 113995: loss = 0.0339 (0.177 sec/step)
I0724 06:09:00.264246 140531649939328 learning.py:512] global step 113995: loss = 0.0339 (0.177 sec/step)
INFO:tensorflow:global step 113996: loss = 0.0057 (0.163 sec/step)
I0724 06:09:00.428683 140531649939328 learning.py:512] global step 113996: loss = 0.0057 (0.163 sec/step)
INFO:tensorflow:global step 113997: loss = 0.0757 (0.154 sec/step)
I0724 06:09:00.584177 140531649939328 learning.py:512] global step 113997: loss = 0.0757 (0.154 sec/step)
INFO:tensorflow:global step 113998: loss = 0.0086 (0.156 sec/step)
I0724 06:09:00.741946 140531649939328 learning.py:512] global step 113998: loss = 0.0086 (0.156 sec/step)
INFO:tensorflow:global step 113999: loss = 0.0097 (0.164 sec/step)
I0724 06:09:00.906894 140531649939328 learning.py:512] global step 113999: loss = 0.0097 (0.164 sec/step)
INFO:tensorflow:global step 114000: loss = 0.1132 (0.159 sec/step)
I0724 06:09:01.067691 140531649939328 learning.py:512] global step 114000: loss = 0.1132 (0.159 sec/step)
INFO:tensorflow:global step 114001: loss = 0.0574 (0.172 sec/step)
I0724 06:09:01.240549 140531649939328 learning.py:512] global step 114001: loss = 0.0574 (0.172 sec/step)
INFO:tensorflow:global step 114002: loss = 0.0109 (0.179 sec/step)
I0724 06:09:01.420652 140531649939328 learning.py:512] global step 114002: loss = 0.0109 (0.179 sec/step)
INFO:tensorflow:global step 114003: loss = 0.0389 (0.160 sec/step)
I0724 06:09:01.582574 140531649939328 learning.py:512] global step 114003: loss = 0.0389 (0.160 sec/step)
INFO:tensorflow:global step 114004: loss = 0.0076 (0.157 sec/step)
I0724 06:09:01.741313 140531649939328 learning.py:512] global step 114004: loss = 0.0076 (0.157 sec/step)
INFO:tensorflow:global step 114005: loss = 0.0526 (0.166 sec/step)
I0724 06:09:01.908529 140531649939328 learning.py:512] global step 114005: loss = 0.0526 (0.166 sec/step)
INFO:tensorflow:global step 114006: loss = 0.0153 (0.163 sec/step)
I0724 06:09:02.072898 140531649939328 learning.py:512] global step 114006: loss = 0.0153 (0.163 sec/step)
INFO:tensorflow:global step 114007: loss = 0.0398 (0.167 sec/step)
I0724 06:09:02.240908 140531649939328 learning.py:512] global step 114007: loss = 0.0398 (0.167 sec/step)
INFO:tensorflow:global step 114008: loss = 0.0253 (0.153 sec/step)
I0724 06:09:02.395282 140531649939328 learning.py:512] global step 114008: loss = 0.0253 (0.153 sec/step)
INFO:tensorflow:global step 114009: loss = 0.0155 (0.169 sec/step)
I0724 06:09:02.566238 140531649939328 learning.py:512] global step 114009: loss = 0.0155 (0.169 sec/step)
INFO:tensorflow:global step 114010: loss = 0.0099 (0.135 sec/step)
I0724 06:09:02.702194 140531649939328 learning.py:512] global step 114010: loss = 0.0099 (0.135 sec/step)
INFO:tensorflow:global step 114011: loss = 0.0248 (0.166 sec/step)
I0724 06:09:02.869319 140531649939328 learning.py:512] global step 114011: loss = 0.0248 (0.166 sec/step)
INFO:tensorflow:global step 114012: loss = 0.0347 (0.171 sec/step)
I0724 06:09:03.041511 140531649939328 learning.py:512] global step 114012: loss = 0.0347 (0.171 sec/step)
INFO:tensorflow:global step 114013: loss = 0.0323 (0.152 sec/step)
I0724 06:09:03.195228 140531649939328 learning.py:512] global step 114013: loss = 0.0323 (0.152 sec/step)
INFO:tensorflow:global step 114014: loss = 0.0140 (0.177 sec/step)
I0724 06:09:03.373265 140531649939328 learning.py:512] global step 114014: loss = 0.0140 (0.177 sec/step)
INFO:tensorflow:global step 114015: loss = 0.0327 (0.184 sec/step)
I0724 06:09:03.558946 140531649939328 learning.py:512] global step 114015: loss = 0.0327 (0.184 sec/step)
INFO:tensorflow:global step 114016: loss = 0.0285 (0.159 sec/step)
I0724 06:09:03.719635 140531649939328 learning.py:512] global step 114016: loss = 0.0285 (0.159 sec/step)
INFO:tensorflow:global step 114017: loss = 0.0031 (0.158 sec/step)
I0724 06:09:03.879495 140531649939328 learning.py:512] global step 114017: loss = 0.0031 (0.158 sec/step)
INFO:tensorflow:global step 114018: loss = 0.0086 (0.168 sec/step)
I0724 06:09:04.048715 140531649939328 learning.py:512] global step 114018: loss = 0.0086 (0.168 sec/step)
INFO:tensorflow:global step 114019: loss = 0.0029 (0.167 sec/step)
I0724 06:09:04.217666 140531649939328 learning.py:512] global step 114019: loss = 0.0029 (0.167 sec/step)
INFO:tensorflow:global step 114020: loss = 0.1647 (0.172 sec/step)
I0724 06:09:04.391444 140531649939328 learning.py:512] global step 114020: loss = 0.1647 (0.172 sec/step)
INFO:tensorflow:global step 114021: loss = 0.0040 (0.153 sec/step)
I0724 06:09:04.546037 140531649939328 learning.py:512] global step 114021: loss = 0.0040 (0.153 sec/step)
INFO:tensorflow:global step 114022: loss = 0.0154 (0.148 sec/step)
I0724 06:09:04.695017 140531649939328 learning.py:512] global step 114022: loss = 0.0154 (0.148 sec/step)
INFO:tensorflow:global step 114023: loss = 0.0495 (0.175 sec/step)
I0724 06:09:04.870805 140531649939328 learning.py:512] global step 114023: loss = 0.0495 (0.175 sec/step)
INFO:tensorflow:global step 114024: loss = 0.0645 (0.161 sec/step)
I0724 06:09:05.033582 140531649939328 learning.py:512] global step 114024: loss = 0.0645 (0.161 sec/step)
INFO:tensorflow:global step 114025: loss = 0.0178 (0.147 sec/step)
I0724 06:09:05.182333 140531649939328 learning.py:512] global step 114025: loss = 0.0178 (0.147 sec/step)
INFO:tensorflow:global step 114026: loss = 0.0543 (0.177 sec/step)
I0724 06:09:05.360999 140531649939328 learning.py:512] global step 114026: loss = 0.0543 (0.177 sec/step)
INFO:tensorflow:global step 114027: loss = 0.0307 (0.159 sec/step)
I0724 06:09:05.521521 140531649939328 learning.py:512] global step 114027: loss = 0.0307 (0.159 sec/step)
INFO:tensorflow:global step 114028: loss = 0.0071 (0.163 sec/step)
I0724 06:09:05.685780 140531649939328 learning.py:512] global step 114028: loss = 0.0071 (0.163 sec/step)
INFO:tensorflow:global step 114029: loss = 0.0959 (0.149 sec/step)
I0724 06:09:05.836113 140531649939328 learning.py:512] global step 114029: loss = 0.0959 (0.149 sec/step)
INFO:tensorflow:global step 114030: loss = 0.0242 (0.155 sec/step)
I0724 06:09:05.992622 140531649939328 learning.py:512] global step 114030: loss = 0.0242 (0.155 sec/step)
INFO:tensorflow:global step 114031: loss = 0.0422 (0.158 sec/step)
I0724 06:09:06.152678 140531649939328 learning.py:512] global step 114031: loss = 0.0422 (0.158 sec/step)
INFO:tensorflow:global step 114032: loss = 0.0775 (0.161 sec/step)
I0724 06:09:06.315604 140531649939328 learning.py:512] global step 114032: loss = 0.0775 (0.161 sec/step)
INFO:tensorflow:global step 114033: loss = 0.0037 (0.159 sec/step)
I0724 06:09:06.476411 140531649939328 learning.py:512] global step 114033: loss = 0.0037 (0.159 sec/step)
INFO:tensorflow:global step 114034: loss = 0.0371 (0.145 sec/step)
I0724 06:09:06.622694 140531649939328 learning.py:512] global step 114034: loss = 0.0371 (0.145 sec/step)
INFO:tensorflow:global step 114035: loss = 0.0371 (0.156 sec/step)
I0724 06:09:06.780162 140531649939328 learning.py:512] global step 114035: loss = 0.0371 (0.156 sec/step)
INFO:tensorflow:global step 114036: loss = 0.0209 (0.161 sec/step)
I0724 06:09:06.942632 140531649939328 learning.py:512] global step 114036: loss = 0.0209 (0.161 sec/step)
INFO:tensorflow:global step 114037: loss = 0.0439 (0.158 sec/step)
I0724 06:09:07.102173 140531649939328 learning.py:512] global step 114037: loss = 0.0439 (0.158 sec/step)
INFO:tensorflow:global step 114038: loss = 0.0061 (0.160 sec/step)
I0724 06:09:07.263148 140531649939328 learning.py:512] global step 114038: loss = 0.0061 (0.160 sec/step)
INFO:tensorflow:global step 114039: loss = 0.0113 (0.165 sec/step)
I0724 06:09:07.429372 140531649939328 learning.py:512] global step 114039: loss = 0.0113 (0.165 sec/step)
INFO:tensorflow:global step 114040: loss = 0.0212 (0.172 sec/step)
I0724 06:09:07.602676 140531649939328 learning.py:512] global step 114040: loss = 0.0212 (0.172 sec/step)
INFO:tensorflow:global step 114041: loss = 0.0074 (0.163 sec/step)
I0724 06:09:07.767248 140531649939328 learning.py:512] global step 114041: loss = 0.0074 (0.163 sec/step)
INFO:tensorflow:global step 114042: loss = 0.0323 (0.156 sec/step)
I0724 06:09:07.924552 140531649939328 learning.py:512] global step 114042: loss = 0.0323 (0.156 sec/step)
INFO:tensorflow:global step 114043: loss = 0.0307 (0.155 sec/step)
I0724 06:09:08.080611 140531649939328 learning.py:512] global step 114043: loss = 0.0307 (0.155 sec/step)
INFO:tensorflow:global step 114044: loss = 0.0292 (0.165 sec/step)
I0724 06:09:08.246987 140531649939328 learning.py:512] global step 114044: loss = 0.0292 (0.165 sec/step)
INFO:tensorflow:global step 114045: loss = 0.0097 (0.174 sec/step)
I0724 06:09:08.422518 140531649939328 learning.py:512] global step 114045: loss = 0.0097 (0.174 sec/step)
INFO:tensorflow:global step 114046: loss = 0.0285 (0.160 sec/step)
I0724 06:09:08.584379 140531649939328 learning.py:512] global step 114046: loss = 0.0285 (0.160 sec/step)
INFO:tensorflow:global step 114047: loss = 0.0157 (0.164 sec/step)
I0724 06:09:08.749582 140531649939328 learning.py:512] global step 114047: loss = 0.0157 (0.164 sec/step)
INFO:tensorflow:global step 114048: loss = 0.0148 (0.154 sec/step)
I0724 06:09:08.904518 140531649939328 learning.py:512] global step 114048: loss = 0.0148 (0.154 sec/step)
INFO:tensorflow:global step 114049: loss = 0.0572 (0.153 sec/step)
I0724 06:09:09.058777 140531649939328 learning.py:512] global step 114049: loss = 0.0572 (0.153 sec/step)
INFO:tensorflow:global step 114050: loss = 0.0121 (0.183 sec/step)
I0724 06:09:09.243686 140531649939328 learning.py:512] global step 114050: loss = 0.0121 (0.183 sec/step)
INFO:tensorflow:global step 114051: loss = 0.0293 (0.164 sec/step)
I0724 06:09:09.408714 140531649939328 learning.py:512] global step 114051: loss = 0.0293 (0.164 sec/step)
INFO:tensorflow:global step 114052: loss = 0.0130 (0.152 sec/step)
I0724 06:09:09.562189 140531649939328 learning.py:512] global step 114052: loss = 0.0130 (0.152 sec/step)
INFO:tensorflow:global step 114053: loss = 0.0379 (0.160 sec/step)
I0724 06:09:09.723381 140531649939328 learning.py:512] global step 114053: loss = 0.0379 (0.160 sec/step)
INFO:tensorflow:global step 114054: loss = 0.0275 (0.163 sec/step)
I0724 06:09:09.887771 140531649939328 learning.py:512] global step 114054: loss = 0.0275 (0.163 sec/step)
INFO:tensorflow:global step 114055: loss = 0.0264 (0.163 sec/step)
I0724 06:09:10.051952 140531649939328 learning.py:512] global step 114055: loss = 0.0264 (0.163 sec/step)
INFO:tensorflow:global step 114056: loss = 0.0811 (0.149 sec/step)
I0724 06:09:10.202749 140531649939328 learning.py:512] global step 114056: loss = 0.0811 (0.149 sec/step)
INFO:tensorflow:global step 114057: loss = 0.0180 (0.155 sec/step)
I0724 06:09:10.358786 140531649939328 learning.py:512] global step 114057: loss = 0.0180 (0.155 sec/step)
INFO:tensorflow:global step 114058: loss = 0.0274 (0.168 sec/step)
I0724 06:09:10.528478 140531649939328 learning.py:512] global step 114058: loss = 0.0274 (0.168 sec/step)
INFO:tensorflow:global step 114059: loss = 0.0936 (0.169 sec/step)
I0724 06:09:10.699351 140531649939328 learning.py:512] global step 114059: loss = 0.0936 (0.169 sec/step)
INFO:tensorflow:global step 114060: loss = 0.0837 (0.147 sec/step)
I0724 06:09:10.847247 140531649939328 learning.py:512] global step 114060: loss = 0.0837 (0.147 sec/step)
INFO:tensorflow:global step 114061: loss = 0.0103 (0.156 sec/step)
I0724 06:09:11.005208 140531649939328 learning.py:512] global step 114061: loss = 0.0103 (0.156 sec/step)
INFO:tensorflow:global step 114062: loss = 0.0515 (0.158 sec/step)
I0724 06:09:11.164664 140531649939328 learning.py:512] global step 114062: loss = 0.0515 (0.158 sec/step)
INFO:tensorflow:global step 114063: loss = 0.0563 (0.168 sec/step)
I0724 06:09:11.333681 140531649939328 learning.py:512] global step 114063: loss = 0.0563 (0.168 sec/step)
INFO:tensorflow:global step 114064: loss = 0.0270 (0.173 sec/step)
I0724 06:09:11.507937 140531649939328 learning.py:512] global step 114064: loss = 0.0270 (0.173 sec/step)
INFO:tensorflow:global step 114065: loss = 0.0422 (0.150 sec/step)
I0724 06:09:11.658818 140531649939328 learning.py:512] global step 114065: loss = 0.0422 (0.150 sec/step)
INFO:tensorflow:global step 114066: loss = 0.1091 (0.161 sec/step)
I0724 06:09:11.821671 140531649939328 learning.py:512] global step 114066: loss = 0.1091 (0.161 sec/step)
INFO:tensorflow:global step 114067: loss = 0.0163 (0.149 sec/step)
I0724 06:09:11.971637 140531649939328 learning.py:512] global step 114067: loss = 0.0163 (0.149 sec/step)
INFO:tensorflow:global step 114068: loss = 0.0191 (0.162 sec/step)
I0724 06:09:12.134615 140531649939328 learning.py:512] global step 114068: loss = 0.0191 (0.162 sec/step)
INFO:tensorflow:global step 114069: loss = 0.0419 (0.176 sec/step)
I0724 06:09:12.312342 140531649939328 learning.py:512] global step 114069: loss = 0.0419 (0.176 sec/step)
INFO:tensorflow:global step 114070: loss = 0.0925 (0.172 sec/step)
I0724 06:09:12.485871 140531649939328 learning.py:512] global step 114070: loss = 0.0925 (0.172 sec/step)
INFO:tensorflow:global step 114071: loss = 0.0483 (0.167 sec/step)
I0724 06:09:12.654181 140531649939328 learning.py:512] global step 114071: loss = 0.0483 (0.167 sec/step)
INFO:tensorflow:global step 114072: loss = 0.0411 (0.150 sec/step)
I0724 06:09:12.805702 140531649939328 learning.py:512] global step 114072: loss = 0.0411 (0.150 sec/step)
INFO:tensorflow:global step 114073: loss = 0.0583 (0.157 sec/step)
I0724 06:09:12.964540 140531649939328 learning.py:512] global step 114073: loss = 0.0583 (0.157 sec/step)
INFO:tensorflow:global step 114074: loss = 0.0341 (0.160 sec/step)
I0724 06:09:13.126003 140531649939328 learning.py:512] global step 114074: loss = 0.0341 (0.160 sec/step)
INFO:tensorflow:global step 114075: loss = 0.0070 (0.159 sec/step)
I0724 06:09:13.286784 140531649939328 learning.py:512] global step 114075: loss = 0.0070 (0.159 sec/step)
INFO:tensorflow:global step 114076: loss = 0.0072 (0.166 sec/step)
I0724 06:09:13.454128 140531649939328 learning.py:512] global step 114076: loss = 0.0072 (0.166 sec/step)
INFO:tensorflow:global step 114077: loss = 0.0140 (0.168 sec/step)
I0724 06:09:13.623080 140531649939328 learning.py:512] global step 114077: loss = 0.0140 (0.168 sec/step)
INFO:tensorflow:global step 114078: loss = 0.0460 (0.164 sec/step)
I0724 06:09:13.788609 140531649939328 learning.py:512] global step 114078: loss = 0.0460 (0.164 sec/step)
INFO:tensorflow:global step 114079: loss = 0.1273 (0.156 sec/step)
I0724 06:09:13.945881 140531649939328 learning.py:512] global step 114079: loss = 0.1273 (0.156 sec/step)
INFO:tensorflow:global step 114080: loss = 0.0142 (0.164 sec/step)
I0724 06:09:14.111444 140531649939328 learning.py:512] global step 114080: loss = 0.0142 (0.164 sec/step)
INFO:tensorflow:global step 114081: loss = 0.0449 (0.163 sec/step)
I0724 06:09:14.276063 140531649939328 learning.py:512] global step 114081: loss = 0.0449 (0.163 sec/step)
INFO:tensorflow:global step 114082: loss = 0.0306 (0.145 sec/step)
I0724 06:09:14.422182 140531649939328 learning.py:512] global step 114082: loss = 0.0306 (0.145 sec/step)
INFO:tensorflow:global step 114083: loss = 0.1285 (0.171 sec/step)
I0724 06:09:14.594944 140531649939328 learning.py:512] global step 114083: loss = 0.1285 (0.171 sec/step)
INFO:tensorflow:global step 114084: loss = 0.0407 (0.152 sec/step)
I0724 06:09:14.748697 140531649939328 learning.py:512] global step 114084: loss = 0.0407 (0.152 sec/step)
INFO:tensorflow:global step 114085: loss = 0.0129 (0.162 sec/step)
I0724 06:09:14.912443 140531649939328 learning.py:512] global step 114085: loss = 0.0129 (0.162 sec/step)
INFO:tensorflow:global step 114086: loss = 0.0570 (0.162 sec/step)
I0724 06:09:15.076259 140531649939328 learning.py:512] global step 114086: loss = 0.0570 (0.162 sec/step)
INFO:tensorflow:global step 114087: loss = 0.0310 (0.164 sec/step)
I0724 06:09:15.241985 140531649939328 learning.py:512] global step 114087: loss = 0.0310 (0.164 sec/step)
INFO:tensorflow:global step 114088: loss = 0.1103 (0.162 sec/step)
I0724 06:09:15.405657 140531649939328 learning.py:512] global step 114088: loss = 0.1103 (0.162 sec/step)
INFO:tensorflow:global step 114089: loss = 0.0319 (0.187 sec/step)
I0724 06:09:15.594214 140531649939328 learning.py:512] global step 114089: loss = 0.0319 (0.187 sec/step)
INFO:tensorflow:global step 114090: loss = 0.0220 (0.155 sec/step)
I0724 06:09:15.750567 140531649939328 learning.py:512] global step 114090: loss = 0.0220 (0.155 sec/step)
INFO:tensorflow:global step 114091: loss = 0.0468 (0.159 sec/step)
I0724 06:09:15.910636 140531649939328 learning.py:512] global step 114091: loss = 0.0468 (0.159 sec/step)
INFO:tensorflow:global step 114092: loss = 0.0351 (0.157 sec/step)
I0724 06:09:16.068639 140531649939328 learning.py:512] global step 114092: loss = 0.0351 (0.157 sec/step)
INFO:tensorflow:global step 114093: loss = 0.0337 (0.161 sec/step)
I0724 06:09:16.231196 140531649939328 learning.py:512] global step 114093: loss = 0.0337 (0.161 sec/step)
INFO:tensorflow:global step 114094: loss = 0.0572 (0.153 sec/step)
I0724 06:09:16.385377 140531649939328 learning.py:512] global step 114094: loss = 0.0572 (0.153 sec/step)
INFO:tensorflow:global step 114095: loss = 0.0755 (0.150 sec/step)
I0724 06:09:16.537092 140531649939328 learning.py:512] global step 114095: loss = 0.0755 (0.150 sec/step)
INFO:tensorflow:global step 114096: loss = 0.0595 (0.148 sec/step)
I0724 06:09:16.686814 140531649939328 learning.py:512] global step 114096: loss = 0.0595 (0.148 sec/step)
INFO:tensorflow:global step 114097: loss = 0.0320 (0.168 sec/step)
I0724 06:09:16.856420 140531649939328 learning.py:512] global step 114097: loss = 0.0320 (0.168 sec/step)
INFO:tensorflow:global step 114098: loss = 0.0149 (0.172 sec/step)
I0724 06:09:17.030224 140531649939328 learning.py:512] global step 114098: loss = 0.0149 (0.172 sec/step)
INFO:tensorflow:global step 114099: loss = 0.0114 (0.166 sec/step)
I0724 06:09:17.197631 140531649939328 learning.py:512] global step 114099: loss = 0.0114 (0.166 sec/step)
INFO:tensorflow:global step 114100: loss = 0.1200 (0.163 sec/step)
I0724 06:09:17.361771 140531649939328 learning.py:512] global step 114100: loss = 0.1200 (0.163 sec/step)
INFO:tensorflow:global step 114101: loss = 0.0062 (0.169 sec/step)
I0724 06:09:17.532119 140531649939328 learning.py:512] global step 114101: loss = 0.0062 (0.169 sec/step)
INFO:tensorflow:global step 114102: loss = 0.0386 (0.171 sec/step)
I0724 06:09:17.704875 140531649939328 learning.py:512] global step 114102: loss = 0.0386 (0.171 sec/step)
INFO:tensorflow:global step 114103: loss = 0.0236 (0.169 sec/step)
I0724 06:09:17.875644 140531649939328 learning.py:512] global step 114103: loss = 0.0236 (0.169 sec/step)
INFO:tensorflow:global step 114104: loss = 0.0047 (0.163 sec/step)
I0724 06:09:18.039959 140531649939328 learning.py:512] global step 114104: loss = 0.0047 (0.163 sec/step)
INFO:tensorflow:global step 114105: loss = 0.0101 (0.162 sec/step)
I0724 06:09:18.203784 140531649939328 learning.py:512] global step 114105: loss = 0.0101 (0.162 sec/step)
INFO:tensorflow:global step 114106: loss = 0.0658 (0.159 sec/step)
I0724 06:09:18.364807 140531649939328 learning.py:512] global step 114106: loss = 0.0658 (0.159 sec/step)
INFO:tensorflow:global step 114107: loss = 0.0117 (0.150 sec/step)
I0724 06:09:18.515967 140531649939328 learning.py:512] global step 114107: loss = 0.0117 (0.150 sec/step)
INFO:tensorflow:global step 114108: loss = 0.1631 (0.175 sec/step)
I0724 06:09:18.691926 140531649939328 learning.py:512] global step 114108: loss = 0.1631 (0.175 sec/step)
INFO:tensorflow:global step 114109: loss = 0.0069 (0.171 sec/step)
I0724 06:09:18.863743 140531649939328 learning.py:512] global step 114109: loss = 0.0069 (0.171 sec/step)
INFO:tensorflow:global step 114110: loss = 0.0225 (0.150 sec/step)
I0724 06:09:19.014871 140531649939328 learning.py:512] global step 114110: loss = 0.0225 (0.150 sec/step)
INFO:tensorflow:global step 114111: loss = 0.0716 (0.172 sec/step)
I0724 06:09:19.188568 140531649939328 learning.py:512] global step 114111: loss = 0.0716 (0.172 sec/step)
INFO:tensorflow:global step 114112: loss = 0.0432 (0.151 sec/step)
I0724 06:09:19.341063 140531649939328 learning.py:512] global step 114112: loss = 0.0432 (0.151 sec/step)
INFO:tensorflow:global step 114113: loss = 0.1195 (0.170 sec/step)
I0724 06:09:19.512055 140531649939328 learning.py:512] global step 114113: loss = 0.1195 (0.170 sec/step)
INFO:tensorflow:global step 114114: loss = 0.0965 (0.170 sec/step)
I0724 06:09:19.683987 140531649939328 learning.py:512] global step 114114: loss = 0.0965 (0.170 sec/step)
INFO:tensorflow:global step 114115: loss = 0.0213 (0.154 sec/step)
I0724 06:09:19.839504 140531649939328 learning.py:512] global step 114115: loss = 0.0213 (0.154 sec/step)
INFO:tensorflow:global step 114116: loss = 0.0419 (0.157 sec/step)
I0724 06:09:19.998537 140531649939328 learning.py:512] global step 114116: loss = 0.0419 (0.157 sec/step)
INFO:tensorflow:global step 114117: loss = 0.0046 (0.146 sec/step)
I0724 06:09:20.147242 140531649939328 learning.py:512] global step 114117: loss = 0.0046 (0.146 sec/step)
INFO:tensorflow:global step 114118: loss = 0.0078 (0.163 sec/step)
I0724 06:09:20.311799 140531649939328 learning.py:512] global step 114118: loss = 0.0078 (0.163 sec/step)
INFO:tensorflow:global step 114119: loss = 0.0170 (0.172 sec/step)
I0724 06:09:20.485347 140531649939328 learning.py:512] global step 114119: loss = 0.0170 (0.172 sec/step)
INFO:tensorflow:global step 114120: loss = 0.0182 (0.165 sec/step)
I0724 06:09:20.652243 140531649939328 learning.py:512] global step 114120: loss = 0.0182 (0.165 sec/step)
INFO:tensorflow:global step 114121: loss = 0.0146 (0.171 sec/step)
I0724 06:09:20.825146 140531649939328 learning.py:512] global step 114121: loss = 0.0146 (0.171 sec/step)
INFO:tensorflow:global step 114122: loss = 0.0131 (0.152 sec/step)
I0724 06:09:20.978299 140531649939328 learning.py:512] global step 114122: loss = 0.0131 (0.152 sec/step)
INFO:tensorflow:global step 114123: loss = 0.0111 (0.161 sec/step)
I0724 06:09:21.140933 140531649939328 learning.py:512] global step 114123: loss = 0.0111 (0.161 sec/step)
INFO:tensorflow:global step 114124: loss = 0.0266 (0.162 sec/step)
I0724 06:09:21.303946 140531649939328 learning.py:512] global step 114124: loss = 0.0266 (0.162 sec/step)
INFO:tensorflow:global step 114125: loss = 0.0143 (0.160 sec/step)
I0724 06:09:21.464970 140531649939328 learning.py:512] global step 114125: loss = 0.0143 (0.160 sec/step)
INFO:tensorflow:global step 114126: loss = 0.0113 (0.153 sec/step)
I0724 06:09:21.619110 140531649939328 learning.py:512] global step 114126: loss = 0.0113 (0.153 sec/step)
INFO:tensorflow:global step 114127: loss = 0.0233 (0.222 sec/step)
I0724 06:09:21.843178 140531649939328 learning.py:512] global step 114127: loss = 0.0233 (0.222 sec/step)
INFO:tensorflow:global step 114128: loss = 0.1414 (0.197 sec/step)
I0724 06:09:22.041818 140531649939328 learning.py:512] global step 114128: loss = 0.1414 (0.197 sec/step)
INFO:tensorflow:global step 114129: loss = 0.0182 (0.157 sec/step)
I0724 06:09:22.201352 140531649939328 learning.py:512] global step 114129: loss = 0.0182 (0.157 sec/step)
INFO:tensorflow:global step 114130: loss = 0.0197 (0.159 sec/step)
I0724 06:09:22.361482 140531649939328 learning.py:512] global step 114130: loss = 0.0197 (0.159 sec/step)
INFO:tensorflow:global step 114131: loss = 0.0144 (0.153 sec/step)
I0724 06:09:22.516104 140531649939328 learning.py:512] global step 114131: loss = 0.0144 (0.153 sec/step)
INFO:tensorflow:global step 114132: loss = 0.0360 (0.162 sec/step)
I0724 06:09:22.679506 140531649939328 learning.py:512] global step 114132: loss = 0.0360 (0.162 sec/step)
INFO:tensorflow:global step 114133: loss = 0.0052 (0.162 sec/step)
I0724 06:09:22.842515 140531649939328 learning.py:512] global step 114133: loss = 0.0052 (0.162 sec/step)
INFO:tensorflow:global step 114134: loss = 0.0095 (0.172 sec/step)
I0724 06:09:23.016281 140531649939328 learning.py:512] global step 114134: loss = 0.0095 (0.172 sec/step)
INFO:tensorflow:global step 114135: loss = 0.0124 (0.160 sec/step)
I0724 06:09:23.178099 140531649939328 learning.py:512] global step 114135: loss = 0.0124 (0.160 sec/step)
INFO:tensorflow:global step 114136: loss = 0.0799 (0.168 sec/step)
I0724 06:09:23.347932 140531649939328 learning.py:512] global step 114136: loss = 0.0799 (0.168 sec/step)
INFO:tensorflow:global step 114137: loss = 0.0165 (0.169 sec/step)
I0724 06:09:23.518617 140531649939328 learning.py:512] global step 114137: loss = 0.0165 (0.169 sec/step)
INFO:tensorflow:global step 114138: loss = 0.0151 (0.161 sec/step)
I0724 06:09:23.681213 140531649939328 learning.py:512] global step 114138: loss = 0.0151 (0.161 sec/step)
INFO:tensorflow:global step 114139: loss = 0.0689 (0.183 sec/step)
I0724 06:09:23.865348 140531649939328 learning.py:512] global step 114139: loss = 0.0689 (0.183 sec/step)
INFO:tensorflow:global step 114140: loss = 0.1076 (0.164 sec/step)
I0724 06:09:24.030528 140531649939328 learning.py:512] global step 114140: loss = 0.1076 (0.164 sec/step)
INFO:tensorflow:global step 114141: loss = 0.0104 (0.212 sec/step)
I0724 06:09:24.243710 140531649939328 learning.py:512] global step 114141: loss = 0.0104 (0.212 sec/step)
INFO:tensorflow:global step 114142: loss = 0.0194 (0.183 sec/step)
I0724 06:09:24.428120 140531649939328 learning.py:512] global step 114142: loss = 0.0194 (0.183 sec/step)
INFO:tensorflow:global step 114143: loss = 0.0446 (0.151 sec/step)
I0724 06:09:24.580135 140531649939328 learning.py:512] global step 114143: loss = 0.0446 (0.151 sec/step)
INFO:tensorflow:global step 114144: loss = 0.0906 (0.158 sec/step)
I0724 06:09:24.739953 140531649939328 learning.py:512] global step 114144: loss = 0.0906 (0.158 sec/step)
INFO:tensorflow:global step 114145: loss = 0.0749 (0.167 sec/step)
I0724 06:09:24.907948 140531649939328 learning.py:512] global step 114145: loss = 0.0749 (0.167 sec/step)
INFO:tensorflow:global step 114146: loss = 0.0247 (0.197 sec/step)
I0724 06:09:25.107339 140531649939328 learning.py:512] global step 114146: loss = 0.0247 (0.197 sec/step)
INFO:tensorflow:global step 114147: loss = 0.0068 (0.181 sec/step)
I0724 06:09:25.289689 140531649939328 learning.py:512] global step 114147: loss = 0.0068 (0.181 sec/step)
INFO:tensorflow:global step 114148: loss = 0.0106 (0.164 sec/step)
I0724 06:09:25.455462 140531649939328 learning.py:512] global step 114148: loss = 0.0106 (0.164 sec/step)
INFO:tensorflow:global step 114149: loss = 0.0500 (0.176 sec/step)
I0724 06:09:25.633224 140531649939328 learning.py:512] global step 114149: loss = 0.0500 (0.176 sec/step)
INFO:tensorflow:global step 114150: loss = 0.0107 (0.175 sec/step)
I0724 06:09:25.809590 140531649939328 learning.py:512] global step 114150: loss = 0.0107 (0.175 sec/step)
INFO:tensorflow:global step 114151: loss = 0.0237 (0.170 sec/step)
I0724 06:09:25.980860 140531649939328 learning.py:512] global step 114151: loss = 0.0237 (0.170 sec/step)
INFO:tensorflow:global step 114152: loss = 0.0367 (0.163 sec/step)
I0724 06:09:26.145785 140531649939328 learning.py:512] global step 114152: loss = 0.0367 (0.163 sec/step)
INFO:tensorflow:global step 114153: loss = 0.0223 (0.166 sec/step)
I0724 06:09:26.313458 140531649939328 learning.py:512] global step 114153: loss = 0.0223 (0.166 sec/step)
INFO:tensorflow:global step 114154: loss = 0.0098 (0.151 sec/step)
I0724 06:09:26.465478 140531649939328 learning.py:512] global step 114154: loss = 0.0098 (0.151 sec/step)
INFO:tensorflow:global step 114155: loss = 0.0050 (0.172 sec/step)
I0724 06:09:26.639026 140531649939328 learning.py:512] global step 114155: loss = 0.0050 (0.172 sec/step)
INFO:tensorflow:global step 114156: loss = 0.0971 (0.166 sec/step)
I0724 06:09:26.806090 140531649939328 learning.py:512] global step 114156: loss = 0.0971 (0.166 sec/step)
INFO:tensorflow:global step 114157: loss = 0.0087 (0.170 sec/step)
I0724 06:09:26.977569 140531649939328 learning.py:512] global step 114157: loss = 0.0087 (0.170 sec/step)
INFO:tensorflow:global step 114158: loss = 0.0130 (0.171 sec/step)
I0724 06:09:27.149824 140531649939328 learning.py:512] global step 114158: loss = 0.0130 (0.171 sec/step)
INFO:tensorflow:global step 114159: loss = 0.1035 (0.168 sec/step)
I0724 06:09:27.319195 140531649939328 learning.py:512] global step 114159: loss = 0.1035 (0.168 sec/step)
INFO:tensorflow:global step 114160: loss = 0.0137 (0.164 sec/step)
I0724 06:09:27.484467 140531649939328 learning.py:512] global step 114160: loss = 0.0137 (0.164 sec/step)
INFO:tensorflow:global step 114161: loss = 0.0450 (0.164 sec/step)
I0724 06:09:27.650096 140531649939328 learning.py:512] global step 114161: loss = 0.0450 (0.164 sec/step)
INFO:tensorflow:global step 114162: loss = 0.0778 (0.158 sec/step)
I0724 06:09:27.809747 140531649939328 learning.py:512] global step 114162: loss = 0.0778 (0.158 sec/step)
INFO:tensorflow:global step 114163: loss = 0.0123 (0.175 sec/step)
I0724 06:09:27.985772 140531649939328 learning.py:512] global step 114163: loss = 0.0123 (0.175 sec/step)
INFO:tensorflow:global step 114164: loss = 0.0195 (0.220 sec/step)
I0724 06:09:28.206920 140531649939328 learning.py:512] global step 114164: loss = 0.0195 (0.220 sec/step)
INFO:tensorflow:global step 114165: loss = 0.0184 (0.207 sec/step)
I0724 06:09:28.415876 140531649939328 learning.py:512] global step 114165: loss = 0.0184 (0.207 sec/step)
INFO:tensorflow:global step 114166: loss = 0.0135 (0.270 sec/step)
I0724 06:09:28.687684 140531649939328 learning.py:512] global step 114166: loss = 0.0135 (0.270 sec/step)
INFO:tensorflow:global step 114167: loss = 0.0029 (0.182 sec/step)
I0724 06:09:28.871340 140531649939328 learning.py:512] global step 114167: loss = 0.0029 (0.182 sec/step)
INFO:tensorflow:global step 114168: loss = 0.0254 (0.176 sec/step)
I0724 06:09:29.049826 140531649939328 learning.py:512] global step 114168: loss = 0.0254 (0.176 sec/step)
INFO:tensorflow:global step 114169: loss = 0.0617 (0.160 sec/step)
I0724 06:09:29.210877 140531649939328 learning.py:512] global step 114169: loss = 0.0617 (0.160 sec/step)
INFO:tensorflow:global step 114170: loss = 0.0114 (0.152 sec/step)
I0724 06:09:29.364241 140531649939328 learning.py:512] global step 114170: loss = 0.0114 (0.152 sec/step)
INFO:tensorflow:global step 114171: loss = 0.0116 (0.157 sec/step)
I0724 06:09:29.523585 140531649939328 learning.py:512] global step 114171: loss = 0.0116 (0.157 sec/step)
INFO:tensorflow:global step 114172: loss = 0.0277 (0.163 sec/step)
I0724 06:09:29.688118 140531649939328 learning.py:512] global step 114172: loss = 0.0277 (0.163 sec/step)
INFO:tensorflow:global step 114173: loss = 0.0406 (0.161 sec/step)
I0724 06:09:29.851072 140531649939328 learning.py:512] global step 114173: loss = 0.0406 (0.161 sec/step)
INFO:tensorflow:global step 114174: loss = 0.1420 (0.167 sec/step)
I0724 06:09:30.019632 140531649939328 learning.py:512] global step 114174: loss = 0.1420 (0.167 sec/step)
INFO:tensorflow:global step 114175: loss = 0.0820 (0.182 sec/step)
I0724 06:09:30.203357 140531649939328 learning.py:512] global step 114175: loss = 0.0820 (0.182 sec/step)
INFO:tensorflow:global step 114176: loss = 0.0393 (0.177 sec/step)
I0724 06:09:30.381512 140531649939328 learning.py:512] global step 114176: loss = 0.0393 (0.177 sec/step)
INFO:tensorflow:global step 114177: loss = 0.1127 (0.166 sec/step)
I0724 06:09:30.549135 140531649939328 learning.py:512] global step 114177: loss = 0.1127 (0.166 sec/step)
INFO:tensorflow:global step 114178: loss = 0.0277 (0.160 sec/step)
I0724 06:09:30.710990 140531649939328 learning.py:512] global step 114178: loss = 0.0277 (0.160 sec/step)
INFO:tensorflow:global step 114179: loss = 0.0186 (0.175 sec/step)
I0724 06:09:30.887211 140531649939328 learning.py:512] global step 114179: loss = 0.0186 (0.175 sec/step)
INFO:tensorflow:global step 114180: loss = 0.0225 (0.176 sec/step)
I0724 06:09:31.064369 140531649939328 learning.py:512] global step 114180: loss = 0.0225 (0.176 sec/step)
INFO:tensorflow:global step 114181: loss = 0.0506 (0.164 sec/step)
I0724 06:09:31.229325 140531649939328 learning.py:512] global step 114181: loss = 0.0506 (0.164 sec/step)
INFO:tensorflow:global step 114182: loss = 0.0569 (0.160 sec/step)
I0724 06:09:31.391240 140531649939328 learning.py:512] global step 114182: loss = 0.0569 (0.160 sec/step)
INFO:tensorflow:global step 114183: loss = 0.0191 (0.159 sec/step)
I0724 06:09:31.551949 140531649939328 learning.py:512] global step 114183: loss = 0.0191 (0.159 sec/step)
INFO:tensorflow:global step 114184: loss = 0.0887 (0.153 sec/step)
I0724 06:09:31.706634 140531649939328 learning.py:512] global step 114184: loss = 0.0887 (0.153 sec/step)
INFO:tensorflow:global step 114185: loss = 0.0285 (0.157 sec/step)
I0724 06:09:31.865257 140531649939328 learning.py:512] global step 114185: loss = 0.0285 (0.157 sec/step)
INFO:tensorflow:global step 114186: loss = 0.0630 (0.164 sec/step)
I0724 06:09:32.030210 140531649939328 learning.py:512] global step 114186: loss = 0.0630 (0.164 sec/step)
INFO:tensorflow:global step 114187: loss = 0.0966 (0.161 sec/step)
I0724 06:09:32.192557 140531649939328 learning.py:512] global step 114187: loss = 0.0966 (0.161 sec/step)
INFO:tensorflow:global step 114188: loss = 0.0064 (0.174 sec/step)
I0724 06:09:32.367924 140531649939328 learning.py:512] global step 114188: loss = 0.0064 (0.174 sec/step)
INFO:tensorflow:global step 114189: loss = 0.0192 (0.151 sec/step)
I0724 06:09:32.520618 140531649939328 learning.py:512] global step 114189: loss = 0.0192 (0.151 sec/step)
INFO:tensorflow:global step 114190: loss = 0.0098 (0.153 sec/step)
I0724 06:09:32.675140 140531649939328 learning.py:512] global step 114190: loss = 0.0098 (0.153 sec/step)
INFO:tensorflow:global step 114191: loss = 0.0895 (0.163 sec/step)
I0724 06:09:32.839111 140531649939328 learning.py:512] global step 114191: loss = 0.0895 (0.163 sec/step)
INFO:tensorflow:global step 114192: loss = 0.0036 (0.166 sec/step)
I0724 06:09:33.006635 140531649939328 learning.py:512] global step 114192: loss = 0.0036 (0.166 sec/step)
INFO:tensorflow:global step 114193: loss = 0.0123 (0.184 sec/step)
I0724 06:09:33.192172 140531649939328 learning.py:512] global step 114193: loss = 0.0123 (0.184 sec/step)
INFO:tensorflow:global step 114194: loss = 0.0258 (0.186 sec/step)
I0724 06:09:33.379916 140531649939328 learning.py:512] global step 114194: loss = 0.0258 (0.186 sec/step)
INFO:tensorflow:global step 114195: loss = 0.0874 (0.146 sec/step)
I0724 06:09:33.527494 140531649939328 learning.py:512] global step 114195: loss = 0.0874 (0.146 sec/step)
INFO:tensorflow:global step 114196: loss = 0.0278 (0.165 sec/step)
I0724 06:09:33.694782 140531649939328 learning.py:512] global step 114196: loss = 0.0278 (0.165 sec/step)
INFO:tensorflow:global step 114197: loss = 0.0089 (0.161 sec/step)
I0724 06:09:33.857100 140531649939328 learning.py:512] global step 114197: loss = 0.0089 (0.161 sec/step)
INFO:tensorflow:global step 114198: loss = 0.0119 (0.170 sec/step)
I0724 06:09:34.028184 140531649939328 learning.py:512] global step 114198: loss = 0.0119 (0.170 sec/step)
INFO:tensorflow:global step 114199: loss = 0.0070 (0.165 sec/step)
I0724 06:09:34.194557 140531649939328 learning.py:512] global step 114199: loss = 0.0070 (0.165 sec/step)
INFO:tensorflow:global step 114200: loss = 0.0150 (0.155 sec/step)
I0724 06:09:34.350785 140531649939328 learning.py:512] global step 114200: loss = 0.0150 (0.155 sec/step)
INFO:tensorflow:global step 114201: loss = 0.0086 (0.159 sec/step)
I0724 06:09:34.511333 140531649939328 learning.py:512] global step 114201: loss = 0.0086 (0.159 sec/step)
INFO:tensorflow:global step 114202: loss = 0.0539 (0.170 sec/step)
I0724 06:09:34.682644 140531649939328 learning.py:512] global step 114202: loss = 0.0539 (0.170 sec/step)
INFO:tensorflow:global step 114203: loss = 0.0944 (0.150 sec/step)
I0724 06:09:34.834510 140531649939328 learning.py:512] global step 114203: loss = 0.0944 (0.150 sec/step)
INFO:tensorflow:global step 114204: loss = 0.0621 (0.163 sec/step)
I0724 06:09:34.999313 140531649939328 learning.py:512] global step 114204: loss = 0.0621 (0.163 sec/step)
INFO:tensorflow:global step 114205: loss = 0.0054 (0.181 sec/step)
I0724 06:09:35.181320 140531649939328 learning.py:512] global step 114205: loss = 0.0054 (0.181 sec/step)
INFO:tensorflow:global step 114206: loss = 0.0170 (0.156 sec/step)
I0724 06:09:35.339078 140531649939328 learning.py:512] global step 114206: loss = 0.0170 (0.156 sec/step)
INFO:tensorflow:global step 114207: loss = 0.0064 (0.163 sec/step)
I0724 06:09:35.503211 140531649939328 learning.py:512] global step 114207: loss = 0.0064 (0.163 sec/step)
INFO:tensorflow:global step 114208: loss = 0.0698 (0.170 sec/step)
I0724 06:09:35.674210 140531649939328 learning.py:512] global step 114208: loss = 0.0698 (0.170 sec/step)
INFO:tensorflow:global step 114209: loss = 0.0312 (0.152 sec/step)
I0724 06:09:35.827109 140531649939328 learning.py:512] global step 114209: loss = 0.0312 (0.152 sec/step)
INFO:tensorflow:global step 114210: loss = 0.0796 (0.172 sec/step)
I0724 06:09:36.000559 140531649939328 learning.py:512] global step 114210: loss = 0.0796 (0.172 sec/step)
INFO:tensorflow:global step 114211: loss = 0.0398 (0.159 sec/step)
I0724 06:09:36.160572 140531649939328 learning.py:512] global step 114211: loss = 0.0398 (0.159 sec/step)
INFO:tensorflow:global step 114212: loss = 0.0384 (0.165 sec/step)
I0724 06:09:36.326393 140531649939328 learning.py:512] global step 114212: loss = 0.0384 (0.165 sec/step)
INFO:tensorflow:global step 114213: loss = 0.0867 (0.151 sec/step)
I0724 06:09:36.478590 140531649939328 learning.py:512] global step 114213: loss = 0.0867 (0.151 sec/step)
INFO:tensorflow:global step 114214: loss = 0.0083 (0.152 sec/step)
I0724 06:09:36.632407 140531649939328 learning.py:512] global step 114214: loss = 0.0083 (0.152 sec/step)
INFO:tensorflow:global step 114215: loss = 0.0345 (0.162 sec/step)
I0724 06:09:36.796618 140531649939328 learning.py:512] global step 114215: loss = 0.0345 (0.162 sec/step)
INFO:tensorflow:global step 114216: loss = 0.0151 (0.155 sec/step)
I0724 06:09:36.953085 140531649939328 learning.py:512] global step 114216: loss = 0.0151 (0.155 sec/step)
INFO:tensorflow:global step 114217: loss = 0.0066 (0.160 sec/step)
I0724 06:09:37.114108 140531649939328 learning.py:512] global step 114217: loss = 0.0066 (0.160 sec/step)
INFO:tensorflow:global step 114218: loss = 0.0427 (0.165 sec/step)
I0724 06:09:37.280514 140531649939328 learning.py:512] global step 114218: loss = 0.0427 (0.165 sec/step)
INFO:tensorflow:global step 114219: loss = 0.0117 (0.157 sec/step)
I0724 06:09:37.438585 140531649939328 learning.py:512] global step 114219: loss = 0.0117 (0.157 sec/step)
INFO:tensorflow:global step 114220: loss = 0.0154 (0.160 sec/step)
I0724 06:09:37.600628 140531649939328 learning.py:512] global step 114220: loss = 0.0154 (0.160 sec/step)
INFO:tensorflow:global step 114221: loss = 0.0702 (0.156 sec/step)
I0724 06:09:37.758449 140531649939328 learning.py:512] global step 114221: loss = 0.0702 (0.156 sec/step)
INFO:tensorflow:global step 114222: loss = 0.0139 (0.161 sec/step)
I0724 06:09:37.920303 140531649939328 learning.py:512] global step 114222: loss = 0.0139 (0.161 sec/step)
INFO:tensorflow:global step 114223: loss = 0.0226 (0.168 sec/step)
I0724 06:09:38.090333 140531649939328 learning.py:512] global step 114223: loss = 0.0226 (0.168 sec/step)
INFO:tensorflow:global step 114224: loss = 0.0670 (0.159 sec/step)
I0724 06:09:38.251480 140531649939328 learning.py:512] global step 114224: loss = 0.0670 (0.159 sec/step)
INFO:tensorflow:global step 114225: loss = 0.0140 (0.146 sec/step)
I0724 06:09:38.398700 140531649939328 learning.py:512] global step 114225: loss = 0.0140 (0.146 sec/step)
INFO:tensorflow:global step 114226: loss = 0.0544 (0.169 sec/step)
I0724 06:09:38.569307 140531649939328 learning.py:512] global step 114226: loss = 0.0544 (0.169 sec/step)
INFO:tensorflow:global step 114227: loss = 0.0486 (0.154 sec/step)
I0724 06:09:38.725059 140531649939328 learning.py:512] global step 114227: loss = 0.0486 (0.154 sec/step)
INFO:tensorflow:global step 114228: loss = 0.0370 (0.158 sec/step)
I0724 06:09:38.884529 140531649939328 learning.py:512] global step 114228: loss = 0.0370 (0.158 sec/step)
INFO:tensorflow:global step 114229: loss = 0.0219 (0.168 sec/step)
I0724 06:09:39.053542 140531649939328 learning.py:512] global step 114229: loss = 0.0219 (0.168 sec/step)
INFO:tensorflow:global step 114230: loss = 0.0182 (0.165 sec/step)
I0724 06:09:39.219493 140531649939328 learning.py:512] global step 114230: loss = 0.0182 (0.165 sec/step)
INFO:tensorflow:global step 114231: loss = 0.0301 (0.151 sec/step)
I0724 06:09:39.372199 140531649939328 learning.py:512] global step 114231: loss = 0.0301 (0.151 sec/step)
INFO:tensorflow:global step 114232: loss = 0.0100 (0.157 sec/step)
I0724 06:09:39.530245 140531649939328 learning.py:512] global step 114232: loss = 0.0100 (0.157 sec/step)
INFO:tensorflow:global step 114233: loss = 0.0357 (0.167 sec/step)
I0724 06:09:39.698189 140531649939328 learning.py:512] global step 114233: loss = 0.0357 (0.167 sec/step)
INFO:tensorflow:global step 114234: loss = 0.0308 (0.156 sec/step)
I0724 06:09:39.857392 140531649939328 learning.py:512] global step 114234: loss = 0.0308 (0.156 sec/step)
INFO:tensorflow:global step 114235: loss = 0.0547 (0.169 sec/step)
I0724 06:09:40.027238 140531649939328 learning.py:512] global step 114235: loss = 0.0547 (0.169 sec/step)
INFO:tensorflow:global step 114236: loss = 0.0097 (0.172 sec/step)
I0724 06:09:40.202086 140531649939328 learning.py:512] global step 114236: loss = 0.0097 (0.172 sec/step)
INFO:tensorflow:global step 114237: loss = 0.0133 (0.184 sec/step)
I0724 06:09:40.391311 140531649939328 learning.py:512] global step 114237: loss = 0.0133 (0.184 sec/step)
INFO:tensorflow:global step 114238: loss = 0.0112 (0.154 sec/step)
I0724 06:09:40.546969 140531649939328 learning.py:512] global step 114238: loss = 0.0112 (0.154 sec/step)
INFO:tensorflow:global step 114239: loss = 0.0597 (0.149 sec/step)
I0724 06:09:40.697201 140531649939328 learning.py:512] global step 114239: loss = 0.0597 (0.149 sec/step)
INFO:tensorflow:global step 114240: loss = 0.0157 (0.165 sec/step)
I0724 06:09:40.863588 140531649939328 learning.py:512] global step 114240: loss = 0.0157 (0.165 sec/step)
INFO:tensorflow:global step 114241: loss = 0.0185 (0.156 sec/step)
I0724 06:09:41.021050 140531649939328 learning.py:512] global step 114241: loss = 0.0185 (0.156 sec/step)
INFO:tensorflow:global step 114242: loss = 0.0216 (0.161 sec/step)
I0724 06:09:41.183662 140531649939328 learning.py:512] global step 114242: loss = 0.0216 (0.161 sec/step)
INFO:tensorflow:global step 114243: loss = 0.0527 (0.167 sec/step)
I0724 06:09:41.352334 140531649939328 learning.py:512] global step 114243: loss = 0.0527 (0.167 sec/step)
INFO:tensorflow:global step 114244: loss = 0.0285 (0.165 sec/step)
I0724 06:09:41.518336 140531649939328 learning.py:512] global step 114244: loss = 0.0285 (0.165 sec/step)
INFO:tensorflow:global step 114245: loss = 0.0449 (0.158 sec/step)
I0724 06:09:41.678011 140531649939328 learning.py:512] global step 114245: loss = 0.0449 (0.158 sec/step)
INFO:tensorflow:global step 114246: loss = 0.0289 (0.150 sec/step)
I0724 06:09:41.829756 140531649939328 learning.py:512] global step 114246: loss = 0.0289 (0.150 sec/step)
INFO:tensorflow:global step 114247: loss = 0.0447 (0.152 sec/step)
I0724 06:09:41.983157 140531649939328 learning.py:512] global step 114247: loss = 0.0447 (0.152 sec/step)
INFO:tensorflow:global step 114248: loss = 0.0049 (0.157 sec/step)
I0724 06:09:42.141968 140531649939328 learning.py:512] global step 114248: loss = 0.0049 (0.157 sec/step)
INFO:tensorflow:global step 114249: loss = 0.0096 (0.167 sec/step)
I0724 06:09:42.310614 140531649939328 learning.py:512] global step 114249: loss = 0.0096 (0.167 sec/step)
INFO:tensorflow:global step 114250: loss = 0.1605 (0.155 sec/step)
I0724 06:09:42.467262 140531649939328 learning.py:512] global step 114250: loss = 0.1605 (0.155 sec/step)
INFO:tensorflow:global step 114251: loss = 0.0124 (0.170 sec/step)
I0724 06:09:42.638697 140531649939328 learning.py:512] global step 114251: loss = 0.0124 (0.170 sec/step)
INFO:tensorflow:global step 114252: loss = 0.0148 (0.165 sec/step)
I0724 06:09:42.805365 140531649939328 learning.py:512] global step 114252: loss = 0.0148 (0.165 sec/step)
INFO:tensorflow:global step 114253: loss = 0.0309 (0.173 sec/step)
I0724 06:09:42.979467 140531649939328 learning.py:512] global step 114253: loss = 0.0309 (0.173 sec/step)
INFO:tensorflow:global step 114254: loss = 0.0165 (0.164 sec/step)
I0724 06:09:43.145002 140531649939328 learning.py:512] global step 114254: loss = 0.0165 (0.164 sec/step)
INFO:tensorflow:global step 114255: loss = 0.0141 (0.166 sec/step)
I0724 06:09:43.312104 140531649939328 learning.py:512] global step 114255: loss = 0.0141 (0.166 sec/step)
INFO:tensorflow:global step 114256: loss = 0.0218 (0.157 sec/step)
I0724 06:09:43.471090 140531649939328 learning.py:512] global step 114256: loss = 0.0218 (0.157 sec/step)
INFO:tensorflow:global step 114257: loss = 0.0090 (0.167 sec/step)
I0724 06:09:43.639804 140531649939328 learning.py:512] global step 114257: loss = 0.0090 (0.167 sec/step)
INFO:tensorflow:global step 114258: loss = 0.0316 (0.158 sec/step)
I0724 06:09:43.801134 140531649939328 learning.py:512] global step 114258: loss = 0.0316 (0.158 sec/step)
INFO:tensorflow:global step 114259: loss = 0.0121 (0.185 sec/step)
I0724 06:09:43.987152 140531649939328 learning.py:512] global step 114259: loss = 0.0121 (0.185 sec/step)
INFO:tensorflow:global step 114260: loss = 0.0024 (0.161 sec/step)
I0724 06:09:44.149767 140531649939328 learning.py:512] global step 114260: loss = 0.0024 (0.161 sec/step)
INFO:tensorflow:global step 114261: loss = 0.0091 (0.169 sec/step)
I0724 06:09:44.321411 140531649939328 learning.py:512] global step 114261: loss = 0.0091 (0.169 sec/step)
INFO:tensorflow:global step 114262: loss = 0.0098 (0.171 sec/step)
I0724 06:09:44.494227 140531649939328 learning.py:512] global step 114262: loss = 0.0098 (0.171 sec/step)
INFO:tensorflow:global step 114263: loss = 0.1671 (0.142 sec/step)
I0724 06:09:44.637963 140531649939328 learning.py:512] global step 114263: loss = 0.1671 (0.142 sec/step)
INFO:tensorflow:global step 114264: loss = 0.0089 (0.163 sec/step)
I0724 06:09:44.802326 140531649939328 learning.py:512] global step 114264: loss = 0.0089 (0.163 sec/step)
INFO:tensorflow:global step 114265: loss = 0.1125 (0.153 sec/step)
I0724 06:09:44.956901 140531649939328 learning.py:512] global step 114265: loss = 0.1125 (0.153 sec/step)
INFO:tensorflow:global step 114266: loss = 0.0343 (0.164 sec/step)
I0724 06:09:45.122226 140531649939328 learning.py:512] global step 114266: loss = 0.0343 (0.164 sec/step)
INFO:tensorflow:global step 114267: loss = 0.0244 (0.159 sec/step)
I0724 06:09:45.282209 140531649939328 learning.py:512] global step 114267: loss = 0.0244 (0.159 sec/step)
INFO:tensorflow:global step 114268: loss = 0.0690 (0.167 sec/step)
I0724 06:09:45.450661 140531649939328 learning.py:512] global step 114268: loss = 0.0690 (0.167 sec/step)
INFO:tensorflow:global step 114269: loss = 0.0246 (0.157 sec/step)
I0724 06:09:45.609518 140531649939328 learning.py:512] global step 114269: loss = 0.0246 (0.157 sec/step)
INFO:tensorflow:global step 114270: loss = 0.0685 (0.163 sec/step)
I0724 06:09:45.773918 140531649939328 learning.py:512] global step 114270: loss = 0.0685 (0.163 sec/step)
INFO:tensorflow:global step 114271: loss = 0.0161 (0.154 sec/step)
I0724 06:09:45.929302 140531649939328 learning.py:512] global step 114271: loss = 0.0161 (0.154 sec/step)
INFO:tensorflow:global step 114272: loss = 0.0996 (0.174 sec/step)
I0724 06:09:46.105250 140531649939328 learning.py:512] global step 114272: loss = 0.0996 (0.174 sec/step)
INFO:tensorflow:global step 114273: loss = 0.0187 (0.153 sec/step)
I0724 06:09:46.260056 140531649939328 learning.py:512] global step 114273: loss = 0.0187 (0.153 sec/step)
INFO:tensorflow:global step 114274: loss = 0.0160 (0.172 sec/step)
I0724 06:09:46.433208 140531649939328 learning.py:512] global step 114274: loss = 0.0160 (0.172 sec/step)
INFO:tensorflow:global step 114275: loss = 0.1932 (0.147 sec/step)
I0724 06:09:46.581646 140531649939328 learning.py:512] global step 114275: loss = 0.1932 (0.147 sec/step)
INFO:tensorflow:global step 114276: loss = 0.0104 (0.150 sec/step)
I0724 06:09:46.733130 140531649939328 learning.py:512] global step 114276: loss = 0.0104 (0.150 sec/step)
INFO:tensorflow:global step 114277: loss = 0.0576 (0.142 sec/step)
I0724 06:09:46.876098 140531649939328 learning.py:512] global step 114277: loss = 0.0576 (0.142 sec/step)
INFO:tensorflow:global step 114278: loss = 0.0131 (0.170 sec/step)
I0724 06:09:47.047427 140531649939328 learning.py:512] global step 114278: loss = 0.0131 (0.170 sec/step)
INFO:tensorflow:global step 114279: loss = 0.0238 (0.165 sec/step)
I0724 06:09:47.213605 140531649939328 learning.py:512] global step 114279: loss = 0.0238 (0.165 sec/step)
INFO:tensorflow:global step 114280: loss = 0.0212 (0.167 sec/step)
I0724 06:09:47.382190 140531649939328 learning.py:512] global step 114280: loss = 0.0212 (0.167 sec/step)
INFO:tensorflow:global step 114281: loss = 0.0484 (0.161 sec/step)
I0724 06:09:47.545015 140531649939328 learning.py:512] global step 114281: loss = 0.0484 (0.161 sec/step)
INFO:tensorflow:global step 114282: loss = 0.0385 (0.157 sec/step)
I0724 06:09:47.704649 140531649939328 learning.py:512] global step 114282: loss = 0.0385 (0.157 sec/step)
INFO:tensorflow:global step 114283: loss = 0.0553 (0.160 sec/step)
I0724 06:09:47.865599 140531649939328 learning.py:512] global step 114283: loss = 0.0553 (0.160 sec/step)
INFO:tensorflow:global step 114284: loss = 0.0117 (0.155 sec/step)
I0724 06:09:48.022335 140531649939328 learning.py:512] global step 114284: loss = 0.0117 (0.155 sec/step)
INFO:tensorflow:global step 114285: loss = 0.0363 (0.174 sec/step)
I0724 06:09:48.197322 140531649939328 learning.py:512] global step 114285: loss = 0.0363 (0.174 sec/step)
INFO:tensorflow:global step 114286: loss = 0.0331 (0.160 sec/step)
I0724 06:09:48.359053 140531649939328 learning.py:512] global step 114286: loss = 0.0331 (0.160 sec/step)
INFO:tensorflow:global step 114287: loss = 0.0542 (0.186 sec/step)
I0724 06:09:48.546677 140531649939328 learning.py:512] global step 114287: loss = 0.0542 (0.186 sec/step)
INFO:tensorflow:global step 114288: loss = 0.0178 (0.169 sec/step)
I0724 06:09:48.716908 140531649939328 learning.py:512] global step 114288: loss = 0.0178 (0.169 sec/step)
INFO:tensorflow:global step 114289: loss = 0.0072 (0.144 sec/step)
I0724 06:09:48.862609 140531649939328 learning.py:512] global step 114289: loss = 0.0072 (0.144 sec/step)
INFO:tensorflow:global step 114290: loss = 0.0958 (0.153 sec/step)
I0724 06:09:49.016856 140531649939328 learning.py:512] global step 114290: loss = 0.0958 (0.153 sec/step)
INFO:tensorflow:global step 114291: loss = 0.0106 (0.173 sec/step)
I0724 06:09:49.191551 140531649939328 learning.py:512] global step 114291: loss = 0.0106 (0.173 sec/step)
INFO:tensorflow:global step 114292: loss = 0.0231 (0.162 sec/step)
I0724 06:09:49.354769 140531649939328 learning.py:512] global step 114292: loss = 0.0231 (0.162 sec/step)
INFO:tensorflow:global step 114293: loss = 0.0391 (0.192 sec/step)
I0724 06:09:49.548005 140531649939328 learning.py:512] global step 114293: loss = 0.0391 (0.192 sec/step)
INFO:tensorflow:global step 114294: loss = 0.0240 (0.154 sec/step)
I0724 06:09:49.702971 140531649939328 learning.py:512] global step 114294: loss = 0.0240 (0.154 sec/step)
INFO:tensorflow:global step 114295: loss = 0.0134 (0.157 sec/step)
I0724 06:09:49.861467 140531649939328 learning.py:512] global step 114295: loss = 0.0134 (0.157 sec/step)
INFO:tensorflow:global step 114296: loss = 0.0182 (0.161 sec/step)
I0724 06:09:50.024247 140531649939328 learning.py:512] global step 114296: loss = 0.0182 (0.161 sec/step)
INFO:tensorflow:global step 114297: loss = 0.1042 (0.159 sec/step)
I0724 06:09:50.185003 140531649939328 learning.py:512] global step 114297: loss = 0.1042 (0.159 sec/step)
INFO:tensorflow:global step 114298: loss = 0.0181 (0.153 sec/step)
I0724 06:09:50.339715 140531649939328 learning.py:512] global step 114298: loss = 0.0181 (0.153 sec/step)
INFO:tensorflow:global step 114299: loss = 0.0067 (0.159 sec/step)
I0724 06:09:50.500437 140531649939328 learning.py:512] global step 114299: loss = 0.0067 (0.159 sec/step)
INFO:tensorflow:global step 114300: loss = 0.0119 (0.147 sec/step)
I0724 06:09:50.648458 140531649939328 learning.py:512] global step 114300: loss = 0.0119 (0.147 sec/step)
INFO:tensorflow:global step 114301: loss = 0.0286 (0.162 sec/step)
I0724 06:09:50.811465 140531649939328 learning.py:512] global step 114301: loss = 0.0286 (0.162 sec/step)
INFO:tensorflow:global step 114302: loss = 0.0297 (0.160 sec/step)
I0724 06:09:50.972918 140531649939328 learning.py:512] global step 114302: loss = 0.0297 (0.160 sec/step)
INFO:tensorflow:global step 114303: loss = 0.0060 (0.147 sec/step)
I0724 06:09:51.121150 140531649939328 learning.py:512] global step 114303: loss = 0.0060 (0.147 sec/step)
INFO:tensorflow:global step 114304: loss = 0.0069 (0.174 sec/step)
I0724 06:09:51.297224 140531649939328 learning.py:512] global step 114304: loss = 0.0069 (0.174 sec/step)
INFO:tensorflow:global step 114305: loss = 0.0501 (0.162 sec/step)
I0724 06:09:51.460603 140531649939328 learning.py:512] global step 114305: loss = 0.0501 (0.162 sec/step)
INFO:tensorflow:global step 114306: loss = 0.0771 (0.169 sec/step)
I0724 06:09:51.631771 140531649939328 learning.py:512] global step 114306: loss = 0.0771 (0.169 sec/step)
INFO:tensorflow:global step 114307: loss = 0.0334 (0.166 sec/step)
I0724 06:09:51.799079 140531649939328 learning.py:512] global step 114307: loss = 0.0334 (0.166 sec/step)
INFO:tensorflow:global step 114308: loss = 0.0701 (0.162 sec/step)
I0724 06:09:51.962968 140531649939328 learning.py:512] global step 114308: loss = 0.0701 (0.162 sec/step)
INFO:tensorflow:global step 114309: loss = 0.0074 (0.167 sec/step)
I0724 06:09:52.131661 140531649939328 learning.py:512] global step 114309: loss = 0.0074 (0.167 sec/step)
INFO:tensorflow:global step 114310: loss = 0.1113 (0.166 sec/step)
I0724 06:09:52.300148 140531649939328 learning.py:512] global step 114310: loss = 0.1113 (0.166 sec/step)
INFO:tensorflow:global step 114311: loss = 0.0608 (0.150 sec/step)
I0724 06:09:52.451586 140531649939328 learning.py:512] global step 114311: loss = 0.0608 (0.150 sec/step)
INFO:tensorflow:global step 114312: loss = 0.0035 (0.158 sec/step)
I0724 06:09:52.610955 140531649939328 learning.py:512] global step 114312: loss = 0.0035 (0.158 sec/step)
INFO:tensorflow:global step 114313: loss = 0.0627 (0.148 sec/step)
I0724 06:09:52.760698 140531649939328 learning.py:512] global step 114313: loss = 0.0627 (0.148 sec/step)
INFO:tensorflow:global step 114314: loss = 0.0190 (0.173 sec/step)
I0724 06:09:52.934825 140531649939328 learning.py:512] global step 114314: loss = 0.0190 (0.173 sec/step)
INFO:tensorflow:global step 114315: loss = 0.0475 (0.151 sec/step)
I0724 06:09:53.087084 140531649939328 learning.py:512] global step 114315: loss = 0.0475 (0.151 sec/step)
INFO:tensorflow:global step 114316: loss = 0.0036 (0.160 sec/step)
I0724 06:09:53.248708 140531649939328 learning.py:512] global step 114316: loss = 0.0036 (0.160 sec/step)
INFO:tensorflow:global step 114317: loss = 0.1123 (0.165 sec/step)
I0724 06:09:53.415019 140531649939328 learning.py:512] global step 114317: loss = 0.1123 (0.165 sec/step)
INFO:tensorflow:global step 114318: loss = 0.0084 (0.167 sec/step)
I0724 06:09:53.583259 140531649939328 learning.py:512] global step 114318: loss = 0.0084 (0.167 sec/step)
INFO:tensorflow:global step 114319: loss = 0.0565 (0.153 sec/step)
I0724 06:09:53.738282 140531649939328 learning.py:512] global step 114319: loss = 0.0565 (0.153 sec/step)
INFO:tensorflow:global step 114320: loss = 0.0170 (0.151 sec/step)
I0724 06:09:53.890499 140531649939328 learning.py:512] global step 114320: loss = 0.0170 (0.151 sec/step)
INFO:tensorflow:global step 114321: loss = 0.0155 (0.156 sec/step)
I0724 06:09:54.047885 140531649939328 learning.py:512] global step 114321: loss = 0.0155 (0.156 sec/step)
INFO:tensorflow:global step 114322: loss = 0.0307 (0.166 sec/step)
I0724 06:09:54.215276 140531649939328 learning.py:512] global step 114322: loss = 0.0307 (0.166 sec/step)
INFO:tensorflow:global step 114323: loss = 0.0384 (0.166 sec/step)
I0724 06:09:54.382145 140531649939328 learning.py:512] global step 114323: loss = 0.0384 (0.166 sec/step)
INFO:tensorflow:global step 114324: loss = 0.0283 (0.165 sec/step)
I0724 06:09:54.548920 140531649939328 learning.py:512] global step 114324: loss = 0.0283 (0.165 sec/step)
INFO:tensorflow:global step 114325: loss = 0.0216 (0.161 sec/step)
I0724 06:09:54.711658 140531649939328 learning.py:512] global step 114325: loss = 0.0216 (0.161 sec/step)
INFO:tensorflow:global step 114326: loss = 0.0032 (0.157 sec/step)
I0724 06:09:54.870673 140531649939328 learning.py:512] global step 114326: loss = 0.0032 (0.157 sec/step)
INFO:tensorflow:global step 114327: loss = 0.0355 (0.151 sec/step)
I0724 06:09:55.023277 140531649939328 learning.py:512] global step 114327: loss = 0.0355 (0.151 sec/step)
INFO:tensorflow:global step 114328: loss = 0.0173 (0.178 sec/step)
I0724 06:09:55.202755 140531649939328 learning.py:512] global step 114328: loss = 0.0173 (0.178 sec/step)
INFO:tensorflow:global step 114329: loss = 0.0078 (0.159 sec/step)
I0724 06:09:55.363278 140531649939328 learning.py:512] global step 114329: loss = 0.0078 (0.159 sec/step)
INFO:tensorflow:global step 114330: loss = 0.0275 (0.177 sec/step)
I0724 06:09:55.541620 140531649939328 learning.py:512] global step 114330: loss = 0.0275 (0.177 sec/step)
INFO:tensorflow:global step 114331: loss = 0.0205 (0.164 sec/step)
I0724 06:09:55.706948 140531649939328 learning.py:512] global step 114331: loss = 0.0205 (0.164 sec/step)
INFO:tensorflow:global step 114332: loss = 0.0446 (0.167 sec/step)
I0724 06:09:55.875145 140531649939328 learning.py:512] global step 114332: loss = 0.0446 (0.167 sec/step)
INFO:tensorflow:global step 114333: loss = 0.0352 (0.151 sec/step)
I0724 06:09:56.027988 140531649939328 learning.py:512] global step 114333: loss = 0.0352 (0.151 sec/step)
INFO:tensorflow:global step 114334: loss = 0.0186 (0.166 sec/step)
I0724 06:09:56.195810 140531649939328 learning.py:512] global step 114334: loss = 0.0186 (0.166 sec/step)
INFO:tensorflow:global step 114335: loss = 0.0206 (0.169 sec/step)
I0724 06:09:56.366957 140531649939328 learning.py:512] global step 114335: loss = 0.0206 (0.169 sec/step)
INFO:tensorflow:global step 114336: loss = 0.0141 (0.153 sec/step)
I0724 06:09:56.521378 140531649939328 learning.py:512] global step 114336: loss = 0.0141 (0.153 sec/step)
INFO:tensorflow:global step 114337: loss = 0.0762 (0.176 sec/step)
I0724 06:09:56.699115 140531649939328 learning.py:512] global step 114337: loss = 0.0762 (0.176 sec/step)
INFO:tensorflow:global step 114338: loss = 0.0062 (0.162 sec/step)
I0724 06:09:56.862718 140531649939328 learning.py:512] global step 114338: loss = 0.0062 (0.162 sec/step)
INFO:tensorflow:global step 114339: loss = 0.0131 (0.166 sec/step)
I0724 06:09:57.029969 140531649939328 learning.py:512] global step 114339: loss = 0.0131 (0.166 sec/step)
INFO:tensorflow:global step 114340: loss = 0.0137 (0.184 sec/step)
I0724 06:09:57.215150 140531649939328 learning.py:512] global step 114340: loss = 0.0137 (0.184 sec/step)
INFO:tensorflow:global step 114341: loss = 0.0263 (0.171 sec/step)
I0724 06:09:57.387793 140531649939328 learning.py:512] global step 114341: loss = 0.0263 (0.171 sec/step)
INFO:tensorflow:global step 114342: loss = 0.0371 (0.156 sec/step)
I0724 06:09:57.545861 140531649939328 learning.py:512] global step 114342: loss = 0.0371 (0.156 sec/step)
INFO:tensorflow:global step 114343: loss = 0.0178 (0.159 sec/step)
I0724 06:09:57.706284 140531649939328 learning.py:512] global step 114343: loss = 0.0178 (0.159 sec/step)
INFO:tensorflow:global step 114344: loss = 0.0099 (0.162 sec/step)
I0724 06:09:57.870644 140531649939328 learning.py:512] global step 114344: loss = 0.0099 (0.162 sec/step)
INFO:tensorflow:global step 114345: loss = 0.0196 (0.150 sec/step)
I0724 06:09:58.021576 140531649939328 learning.py:512] global step 114345: loss = 0.0196 (0.150 sec/step)
INFO:tensorflow:global step 114346: loss = 0.0108 (0.170 sec/step)
I0724 06:09:58.192663 140531649939328 learning.py:512] global step 114346: loss = 0.0108 (0.170 sec/step)
INFO:tensorflow:global step 114347: loss = 0.0333 (0.164 sec/step)
I0724 06:09:58.358347 140531649939328 learning.py:512] global step 114347: loss = 0.0333 (0.164 sec/step)
INFO:tensorflow:global step 114348: loss = 0.0167 (0.151 sec/step)
I0724 06:09:58.510726 140531649939328 learning.py:512] global step 114348: loss = 0.0167 (0.151 sec/step)
INFO:tensorflow:global step 114349: loss = 0.0287 (0.161 sec/step)
I0724 06:09:58.672904 140531649939328 learning.py:512] global step 114349: loss = 0.0287 (0.161 sec/step)
INFO:tensorflow:global step 114350: loss = 0.0146 (0.157 sec/step)
I0724 06:09:58.830787 140531649939328 learning.py:512] global step 114350: loss = 0.0146 (0.157 sec/step)
INFO:tensorflow:global step 114351: loss = 0.1531 (0.174 sec/step)
I0724 06:09:59.006006 140531649939328 learning.py:512] global step 114351: loss = 0.1531 (0.174 sec/step)
INFO:tensorflow:global step 114352: loss = 0.0117 (0.188 sec/step)
I0724 06:09:59.195626 140531649939328 learning.py:512] global step 114352: loss = 0.0117 (0.188 sec/step)
INFO:tensorflow:global step 114353: loss = 0.0090 (0.224 sec/step)
I0724 06:09:59.421135 140531649939328 learning.py:512] global step 114353: loss = 0.0090 (0.224 sec/step)
INFO:tensorflow:global step 114354: loss = 0.0162 (0.194 sec/step)
I0724 06:09:59.617016 140531649939328 learning.py:512] global step 114354: loss = 0.0162 (0.194 sec/step)
INFO:tensorflow:global step 114355: loss = 0.0238 (0.246 sec/step)
I0724 06:09:59.864965 140531649939328 learning.py:512] global step 114355: loss = 0.0238 (0.246 sec/step)
INFO:tensorflow:global step 114356: loss = 0.0363 (0.172 sec/step)
I0724 06:10:00.038120 140531649939328 learning.py:512] global step 114356: loss = 0.0363 (0.172 sec/step)
INFO:tensorflow:global step 114357: loss = 0.0316 (0.142 sec/step)
I0724 06:10:00.181077 140531649939328 learning.py:512] global step 114357: loss = 0.0316 (0.142 sec/step)
INFO:tensorflow:global step 114358: loss = 0.0307 (0.167 sec/step)
I0724 06:10:00.349564 140531649939328 learning.py:512] global step 114358: loss = 0.0307 (0.167 sec/step)
INFO:tensorflow:global step 114359: loss = 0.0071 (0.151 sec/step)
I0724 06:10:00.502425 140531649939328 learning.py:512] global step 114359: loss = 0.0071 (0.151 sec/step)
INFO:tensorflow:global step 114360: loss = 0.0324 (0.169 sec/step)
I0724 06:10:00.673342 140531649939328 learning.py:512] global step 114360: loss = 0.0324 (0.169 sec/step)
INFO:tensorflow:global step 114361: loss = 0.0066 (0.181 sec/step)
I0724 06:10:00.855772 140531649939328 learning.py:512] global step 114361: loss = 0.0066 (0.181 sec/step)
INFO:tensorflow:global step 114362: loss = 0.0088 (0.161 sec/step)
I0724 06:10:01.017780 140531649939328 learning.py:512] global step 114362: loss = 0.0088 (0.161 sec/step)
INFO:tensorflow:global step 114363: loss = 0.0113 (0.181 sec/step)
I0724 06:10:01.200470 140531649939328 learning.py:512] global step 114363: loss = 0.0113 (0.181 sec/step)
INFO:tensorflow:global step 114364: loss = 0.0123 (0.164 sec/step)
I0724 06:10:01.366165 140531649939328 learning.py:512] global step 114364: loss = 0.0123 (0.164 sec/step)
INFO:tensorflow:global step 114365: loss = 0.0256 (0.158 sec/step)
I0724 06:10:01.525464 140531649939328 learning.py:512] global step 114365: loss = 0.0256 (0.158 sec/step)
INFO:tensorflow:global step 114366: loss = 0.0772 (0.149 sec/step)
I0724 06:10:01.676358 140531649939328 learning.py:512] global step 114366: loss = 0.0772 (0.149 sec/step)
INFO:tensorflow:global step 114367: loss = 0.0179 (0.170 sec/step)
I0724 06:10:01.848187 140531649939328 learning.py:512] global step 114367: loss = 0.0179 (0.170 sec/step)
INFO:tensorflow:global step 114368: loss = 0.0388 (0.151 sec/step)
I0724 06:10:02.000633 140531649939328 learning.py:512] global step 114368: loss = 0.0388 (0.151 sec/step)
INFO:tensorflow:global step 114369: loss = 0.0197 (0.152 sec/step)
I0724 06:10:02.154377 140531649939328 learning.py:512] global step 114369: loss = 0.0197 (0.152 sec/step)
INFO:tensorflow:global step 114370: loss = 0.0154 (0.162 sec/step)
I0724 06:10:02.317648 140531649939328 learning.py:512] global step 114370: loss = 0.0154 (0.162 sec/step)
INFO:tensorflow:global step 114371: loss = 0.0154 (0.152 sec/step)
I0724 06:10:02.470727 140531649939328 learning.py:512] global step 114371: loss = 0.0154 (0.152 sec/step)
INFO:tensorflow:global step 114372: loss = 0.0173 (0.165 sec/step)
I0724 06:10:02.637423 140531649939328 learning.py:512] global step 114372: loss = 0.0173 (0.165 sec/step)
INFO:tensorflow:global step 114373: loss = 0.0323 (0.166 sec/step)
I0724 06:10:02.804655 140531649939328 learning.py:512] global step 114373: loss = 0.0323 (0.166 sec/step)
INFO:tensorflow:global step 114374: loss = 0.0198 (0.171 sec/step)
I0724 06:10:02.976884 140531649939328 learning.py:512] global step 114374: loss = 0.0198 (0.171 sec/step)
INFO:tensorflow:global step 114375: loss = 0.0122 (0.169 sec/step)
I0724 06:10:03.146816 140531649939328 learning.py:512] global step 114375: loss = 0.0122 (0.169 sec/step)
INFO:tensorflow:global step 114376: loss = 0.0202 (0.175 sec/step)
I0724 06:10:03.323941 140531649939328 learning.py:512] global step 114376: loss = 0.0202 (0.175 sec/step)
INFO:tensorflow:global step 114377: loss = 0.0283 (0.151 sec/step)
I0724 06:10:03.477893 140531649939328 learning.py:512] global step 114377: loss = 0.0283 (0.151 sec/step)
INFO:tensorflow:global step 114378: loss = 0.0335 (0.154 sec/step)
I0724 06:10:03.633692 140531649939328 learning.py:512] global step 114378: loss = 0.0335 (0.154 sec/step)
INFO:tensorflow:global step 114379: loss = 0.0827 (0.149 sec/step)
I0724 06:10:03.784105 140531649939328 learning.py:512] global step 114379: loss = 0.0827 (0.149 sec/step)
INFO:tensorflow:global step 114380: loss = 0.0125 (0.170 sec/step)
I0724 06:10:03.955726 140531649939328 learning.py:512] global step 114380: loss = 0.0125 (0.170 sec/step)
INFO:tensorflow:global step 114381: loss = 0.0394 (0.158 sec/step)
I0724 06:10:04.114783 140531649939328 learning.py:512] global step 114381: loss = 0.0394 (0.158 sec/step)
INFO:tensorflow:global step 114382: loss = 0.0847 (0.146 sec/step)
I0724 06:10:04.262221 140531649939328 learning.py:512] global step 114382: loss = 0.0847 (0.146 sec/step)
INFO:tensorflow:global step 114383: loss = 0.0399 (0.171 sec/step)
I0724 06:10:04.435002 140531649939328 learning.py:512] global step 114383: loss = 0.0399 (0.171 sec/step)
INFO:tensorflow:global step 114384: loss = 0.0577 (0.184 sec/step)
I0724 06:10:04.620848 140531649939328 learning.py:512] global step 114384: loss = 0.0577 (0.184 sec/step)
INFO:tensorflow:global step 114385: loss = 0.0536 (0.167 sec/step)
I0724 06:10:04.789520 140531649939328 learning.py:512] global step 114385: loss = 0.0536 (0.167 sec/step)
INFO:tensorflow:global step 114386: loss = 0.0430 (0.163 sec/step)
I0724 06:10:04.953538 140531649939328 learning.py:512] global step 114386: loss = 0.0430 (0.163 sec/step)
INFO:tensorflow:global step 114387: loss = 0.0511 (0.161 sec/step)
I0724 06:10:05.115772 140531649939328 learning.py:512] global step 114387: loss = 0.0511 (0.161 sec/step)
INFO:tensorflow:global step 114388: loss = 0.0377 (0.159 sec/step)
I0724 06:10:05.275748 140531649939328 learning.py:512] global step 114388: loss = 0.0377 (0.159 sec/step)
INFO:tensorflow:global step 114389: loss = 0.0423 (0.181 sec/step)
I0724 06:10:05.458605 140531649939328 learning.py:512] global step 114389: loss = 0.0423 (0.181 sec/step)
INFO:tensorflow:global step 114390: loss = 0.0577 (0.158 sec/step)
I0724 06:10:05.617737 140531649939328 learning.py:512] global step 114390: loss = 0.0577 (0.158 sec/step)
INFO:tensorflow:global step 114391: loss = 0.0130 (0.167 sec/step)
I0724 06:10:05.786228 140531649939328 learning.py:512] global step 114391: loss = 0.0130 (0.167 sec/step)
INFO:tensorflow:global step 114392: loss = 0.0201 (0.152 sec/step)
I0724 06:10:05.940162 140531649939328 learning.py:512] global step 114392: loss = 0.0201 (0.152 sec/step)
INFO:tensorflow:global step 114393: loss = 0.0374 (0.165 sec/step)
I0724 06:10:06.106133 140531649939328 learning.py:512] global step 114393: loss = 0.0374 (0.165 sec/step)
INFO:tensorflow:global step 114394: loss = 0.0031 (0.171 sec/step)
I0724 06:10:06.278927 140531649939328 learning.py:512] global step 114394: loss = 0.0031 (0.171 sec/step)
INFO:tensorflow:global step 114395: loss = 0.0147 (0.155 sec/step)
I0724 06:10:06.435196 140531649939328 learning.py:512] global step 114395: loss = 0.0147 (0.155 sec/step)
INFO:tensorflow:global step 114396: loss = 0.0075 (0.148 sec/step)
I0724 06:10:06.584073 140531649939328 learning.py:512] global step 114396: loss = 0.0075 (0.148 sec/step)
INFO:tensorflow:global step 114397: loss = 0.0496 (0.155 sec/step)
I0724 06:10:06.740322 140531649939328 learning.py:512] global step 114397: loss = 0.0496 (0.155 sec/step)
INFO:tensorflow:global step 114398: loss = 0.0152 (0.164 sec/step)
I0724 06:10:06.906035 140531649939328 learning.py:512] global step 114398: loss = 0.0152 (0.164 sec/step)
INFO:tensorflow:global step 114399: loss = 0.0588 (0.157 sec/step)
I0724 06:10:07.064507 140531649939328 learning.py:512] global step 114399: loss = 0.0588 (0.157 sec/step)
INFO:tensorflow:global step 114400: loss = 0.0538 (0.162 sec/step)
I0724 06:10:07.227649 140531649939328 learning.py:512] global step 114400: loss = 0.0538 (0.162 sec/step)
INFO:tensorflow:global step 114401: loss = 0.0184 (0.153 sec/step)
I0724 06:10:07.383346 140531649939328 learning.py:512] global step 114401: loss = 0.0184 (0.153 sec/step)
INFO:tensorflow:global step 114402: loss = 0.0230 (0.139 sec/step)
I0724 06:10:07.523927 140531649939328 learning.py:512] global step 114402: loss = 0.0230 (0.139 sec/step)
INFO:tensorflow:global step 114403: loss = 0.0031 (0.155 sec/step)
I0724 06:10:07.681043 140531649939328 learning.py:512] global step 114403: loss = 0.0031 (0.155 sec/step)
INFO:tensorflow:global step 114404: loss = 0.0218 (0.167 sec/step)
I0724 06:10:07.850200 140531649939328 learning.py:512] global step 114404: loss = 0.0218 (0.167 sec/step)
INFO:tensorflow:global step 114405: loss = 0.0697 (0.166 sec/step)
I0724 06:10:08.017950 140531649939328 learning.py:512] global step 114405: loss = 0.0697 (0.166 sec/step)
INFO:tensorflow:global step 114406: loss = 0.0178 (0.151 sec/step)
I0724 06:10:08.170182 140531649939328 learning.py:512] global step 114406: loss = 0.0178 (0.151 sec/step)
INFO:tensorflow:global step 114407: loss = 0.0907 (0.162 sec/step)
I0724 06:10:08.333928 140531649939328 learning.py:512] global step 114407: loss = 0.0907 (0.162 sec/step)
INFO:tensorflow:global step 114408: loss = 0.0159 (0.172 sec/step)
I0724 06:10:08.507308 140531649939328 learning.py:512] global step 114408: loss = 0.0159 (0.172 sec/step)
INFO:tensorflow:global step 114409: loss = 0.0155 (0.160 sec/step)
I0724 06:10:08.668604 140531649939328 learning.py:512] global step 114409: loss = 0.0155 (0.160 sec/step)
INFO:tensorflow:global step 114410: loss = 0.0149 (0.149 sec/step)
I0724 06:10:08.818882 140531649939328 learning.py:512] global step 114410: loss = 0.0149 (0.149 sec/step)
INFO:tensorflow:global step 114411: loss = 0.0218 (0.157 sec/step)
I0724 06:10:08.977521 140531649939328 learning.py:512] global step 114411: loss = 0.0218 (0.157 sec/step)
INFO:tensorflow:global step 114412: loss = 0.0024 (0.149 sec/step)
I0724 06:10:09.128042 140531649939328 learning.py:512] global step 114412: loss = 0.0024 (0.149 sec/step)
INFO:tensorflow:global step 114413: loss = 0.0094 (0.160 sec/step)
I0724 06:10:09.289826 140531649939328 learning.py:512] global step 114413: loss = 0.0094 (0.160 sec/step)
INFO:tensorflow:global step 114414: loss = 0.0406 (0.168 sec/step)
I0724 06:10:09.459175 140531649939328 learning.py:512] global step 114414: loss = 0.0406 (0.168 sec/step)
INFO:tensorflow:global step 114415: loss = 0.0283 (0.168 sec/step)
I0724 06:10:09.628719 140531649939328 learning.py:512] global step 114415: loss = 0.0283 (0.168 sec/step)
INFO:tensorflow:global step 114416: loss = 0.0056 (0.166 sec/step)
I0724 06:10:09.796097 140531649939328 learning.py:512] global step 114416: loss = 0.0056 (0.166 sec/step)
INFO:tensorflow:global step 114417: loss = 0.0527 (0.160 sec/step)
I0724 06:10:09.957819 140531649939328 learning.py:512] global step 114417: loss = 0.0527 (0.160 sec/step)
INFO:tensorflow:global step 114418: loss = 0.0773 (0.166 sec/step)
I0724 06:10:10.124925 140531649939328 learning.py:512] global step 114418: loss = 0.0773 (0.166 sec/step)
INFO:tensorflow:global step 114419: loss = 0.0681 (0.151 sec/step)
I0724 06:10:10.276950 140531649939328 learning.py:512] global step 114419: loss = 0.0681 (0.151 sec/step)
INFO:tensorflow:global step 114420: loss = 0.1076 (0.155 sec/step)
I0724 06:10:10.434235 140531649939328 learning.py:512] global step 114420: loss = 0.1076 (0.155 sec/step)
INFO:tensorflow:global step 114421: loss = 0.0107 (0.159 sec/step)
I0724 06:10:10.594458 140531649939328 learning.py:512] global step 114421: loss = 0.0107 (0.159 sec/step)
INFO:tensorflow:global step 114422: loss = 0.0594 (0.178 sec/step)
I0724 06:10:10.773223 140531649939328 learning.py:512] global step 114422: loss = 0.0594 (0.178 sec/step)
INFO:tensorflow:global step 114423: loss = 0.0723 (0.169 sec/step)
I0724 06:10:10.943643 140531649939328 learning.py:512] global step 114423: loss = 0.0723 (0.169 sec/step)
INFO:tensorflow:global step 114424: loss = 0.1490 (0.253 sec/step)
I0724 06:10:11.222781 140531649939328 learning.py:512] global step 114424: loss = 0.1490 (0.253 sec/step)
INFO:tensorflow:global step 114425: loss = 0.0517 (0.327 sec/step)
I0724 06:10:11.559980 140531649939328 learning.py:512] global step 114425: loss = 0.0517 (0.327 sec/step)
INFO:tensorflow:global step 114426: loss = 0.0261 (0.260 sec/step)
I0724 06:10:11.829317 140531649939328 learning.py:512] global step 114426: loss = 0.0261 (0.260 sec/step)
INFO:tensorflow:Recording summary at step 114426.
I0724 06:10:11.893133 140528128378624 supervisor.py:1050] Recording summary at step 114426.
INFO:tensorflow:global step 114427: loss = 0.0500 (0.178 sec/step)
I0724 06:10:12.009404 140531649939328 learning.py:512] global step 114427: loss = 0.0500 (0.178 sec/step)
INFO:tensorflow:global step 114428: loss = 0.0107 (0.173 sec/step)
I0724 06:10:12.183986 140531649939328 learning.py:512] global step 114428: loss = 0.0107 (0.173 sec/step)
INFO:tensorflow:global step 114429: loss = 0.0130 (0.158 sec/step)
I0724 06:10:12.343711 140531649939328 learning.py:512] global step 114429: loss = 0.0130 (0.158 sec/step)
INFO:tensorflow:global step 114430: loss = 0.0126 (0.185 sec/step)
I0724 06:10:12.529719 140531649939328 learning.py:512] global step 114430: loss = 0.0126 (0.185 sec/step)
INFO:tensorflow:global step 114431: loss = 0.0177 (0.154 sec/step)
I0724 06:10:12.685065 140531649939328 learning.py:512] global step 114431: loss = 0.0177 (0.154 sec/step)
INFO:tensorflow:global step 114432: loss = 0.0336 (0.170 sec/step)
I0724 06:10:12.856806 140531649939328 learning.py:512] global step 114432: loss = 0.0336 (0.170 sec/step)
INFO:tensorflow:global step 114433: loss = 0.0645 (0.158 sec/step)
I0724 06:10:13.016542 140531649939328 learning.py:512] global step 114433: loss = 0.0645 (0.158 sec/step)
INFO:tensorflow:global step 114434: loss = 0.1129 (0.172 sec/step)
I0724 06:10:13.190424 140531649939328 learning.py:512] global step 114434: loss = 0.1129 (0.172 sec/step)
INFO:tensorflow:global step 114435: loss = 0.0637 (0.157 sec/step)
I0724 06:10:13.349023 140531649939328 learning.py:512] global step 114435: loss = 0.0637 (0.157 sec/step)
INFO:tensorflow:global step 114436: loss = 0.0171 (0.169 sec/step)
I0724 06:10:13.519790 140531649939328 learning.py:512] global step 114436: loss = 0.0171 (0.169 sec/step)
INFO:tensorflow:global step 114437: loss = 0.0631 (0.154 sec/step)
I0724 06:10:13.674775 140531649939328 learning.py:512] global step 114437: loss = 0.0631 (0.154 sec/step)
INFO:tensorflow:global step 114438: loss = 0.0473 (0.155 sec/step)
I0724 06:10:13.831381 140531649939328 learning.py:512] global step 114438: loss = 0.0473 (0.155 sec/step)
INFO:tensorflow:global step 114439: loss = 0.0306 (0.144 sec/step)
I0724 06:10:13.976534 140531649939328 learning.py:512] global step 114439: loss = 0.0306 (0.144 sec/step)
INFO:tensorflow:global step 114440: loss = 0.0090 (0.165 sec/step)
I0724 06:10:14.143460 140531649939328 learning.py:512] global step 114440: loss = 0.0090 (0.165 sec/step)
INFO:tensorflow:global step 114441: loss = 0.0139 (0.158 sec/step)
I0724 06:10:14.303155 140531649939328 learning.py:512] global step 114441: loss = 0.0139 (0.158 sec/step)
INFO:tensorflow:global step 114442: loss = 0.0577 (0.187 sec/step)
I0724 06:10:14.492288 140531649939328 learning.py:512] global step 114442: loss = 0.0577 (0.187 sec/step)
INFO:tensorflow:global step 114443: loss = 0.0804 (0.194 sec/step)
I0724 06:10:14.688461 140531649939328 learning.py:512] global step 114443: loss = 0.0804 (0.194 sec/step)
INFO:tensorflow:global step 114444: loss = 0.0073 (0.161 sec/step)
I0724 06:10:14.851494 140531649939328 learning.py:512] global step 114444: loss = 0.0073 (0.161 sec/step)
INFO:tensorflow:global step 114445: loss = 0.0459 (0.147 sec/step)
I0724 06:10:14.999965 140531649939328 learning.py:512] global step 114445: loss = 0.0459 (0.147 sec/step)
INFO:tensorflow:global step 114446: loss = 0.0940 (0.169 sec/step)
I0724 06:10:15.170674 140531649939328 learning.py:512] global step 114446: loss = 0.0940 (0.169 sec/step)
INFO:tensorflow:global step 114447: loss = 0.0262 (0.163 sec/step)
I0724 06:10:15.335359 140531649939328 learning.py:512] global step 114447: loss = 0.0262 (0.163 sec/step)
INFO:tensorflow:global step 114448: loss = 0.0238 (0.163 sec/step)
I0724 06:10:15.503200 140531649939328 learning.py:512] global step 114448: loss = 0.0238 (0.163 sec/step)
INFO:tensorflow:global step 114449: loss = 0.1565 (0.172 sec/step)
I0724 06:10:15.677003 140531649939328 learning.py:512] global step 114449: loss = 0.1565 (0.172 sec/step)
INFO:tensorflow:global step 114450: loss = 0.0174 (0.166 sec/step)
I0724 06:10:15.845147 140531649939328 learning.py:512] global step 114450: loss = 0.0174 (0.166 sec/step)
INFO:tensorflow:global step 114451: loss = 0.0067 (0.162 sec/step)
I0724 06:10:16.009140 140531649939328 learning.py:512] global step 114451: loss = 0.0067 (0.162 sec/step)
INFO:tensorflow:global step 114452: loss = 0.0554 (0.184 sec/step)
I0724 06:10:16.194045 140531649939328 learning.py:512] global step 114452: loss = 0.0554 (0.184 sec/step)
INFO:tensorflow:global step 114453: loss = 0.0108 (0.150 sec/step)
I0724 06:10:16.344889 140531649939328 learning.py:512] global step 114453: loss = 0.0108 (0.150 sec/step)
INFO:tensorflow:global step 114454: loss = 0.0411 (0.157 sec/step)
I0724 06:10:16.503184 140531649939328 learning.py:512] global step 114454: loss = 0.0411 (0.157 sec/step)
INFO:tensorflow:global step 114455: loss = 0.0085 (0.162 sec/step)
I0724 06:10:16.666682 140531649939328 learning.py:512] global step 114455: loss = 0.0085 (0.162 sec/step)
INFO:tensorflow:global step 114456: loss = 0.0672 (0.163 sec/step)
I0724 06:10:16.830862 140531649939328 learning.py:512] global step 114456: loss = 0.0672 (0.163 sec/step)
INFO:tensorflow:global step 114457: loss = 0.0429 (0.149 sec/step)
I0724 06:10:16.981526 140531649939328 learning.py:512] global step 114457: loss = 0.0429 (0.149 sec/step)
INFO:tensorflow:global step 114458: loss = 0.0928 (0.155 sec/step)
I0724 06:10:17.138390 140531649939328 learning.py:512] global step 114458: loss = 0.0928 (0.155 sec/step)
INFO:tensorflow:global step 114459: loss = 0.0292 (0.172 sec/step)
I0724 06:10:17.312320 140531649939328 learning.py:512] global step 114459: loss = 0.0292 (0.172 sec/step)
INFO:tensorflow:global step 114460: loss = 0.0113 (0.151 sec/step)
I0724 06:10:17.464633 140531649939328 learning.py:512] global step 114460: loss = 0.0113 (0.151 sec/step)
INFO:tensorflow:global step 114461: loss = 0.0109 (0.168 sec/step)
I0724 06:10:17.634560 140531649939328 learning.py:512] global step 114461: loss = 0.0109 (0.168 sec/step)
INFO:tensorflow:global step 114462: loss = 0.0090 (0.168 sec/step)
I0724 06:10:17.804114 140531649939328 learning.py:512] global step 114462: loss = 0.0090 (0.168 sec/step)
INFO:tensorflow:global step 114463: loss = 0.0233 (0.169 sec/step)
I0724 06:10:17.974581 140531649939328 learning.py:512] global step 114463: loss = 0.0233 (0.169 sec/step)
INFO:tensorflow:global step 114464: loss = 0.0458 (0.145 sec/step)
I0724 06:10:18.120531 140531649939328 learning.py:512] global step 114464: loss = 0.0458 (0.145 sec/step)
INFO:tensorflow:global step 114465: loss = 0.0281 (0.161 sec/step)
I0724 06:10:18.283145 140531649939328 learning.py:512] global step 114465: loss = 0.0281 (0.161 sec/step)
INFO:tensorflow:global step 114466: loss = 0.0834 (0.161 sec/step)
I0724 06:10:18.445600 140531649939328 learning.py:512] global step 114466: loss = 0.0834 (0.161 sec/step)
INFO:tensorflow:global step 114467: loss = 0.0323 (0.164 sec/step)
I0724 06:10:18.610711 140531649939328 learning.py:512] global step 114467: loss = 0.0323 (0.164 sec/step)
INFO:tensorflow:global step 114468: loss = 0.0575 (0.158 sec/step)
I0724 06:10:18.770447 140531649939328 learning.py:512] global step 114468: loss = 0.0575 (0.158 sec/step)
INFO:tensorflow:global step 114469: loss = 0.0334 (0.170 sec/step)
I0724 06:10:18.941494 140531649939328 learning.py:512] global step 114469: loss = 0.0334 (0.170 sec/step)
INFO:tensorflow:global step 114470: loss = 0.0584 (0.164 sec/step)
I0724 06:10:19.107704 140531649939328 learning.py:512] global step 114470: loss = 0.0584 (0.164 sec/step)
INFO:tensorflow:global step 114471: loss = 0.0812 (0.170 sec/step)
I0724 06:10:19.279185 140531649939328 learning.py:512] global step 114471: loss = 0.0812 (0.170 sec/step)
INFO:tensorflow:global step 114472: loss = 0.0057 (0.156 sec/step)
I0724 06:10:19.436797 140531649939328 learning.py:512] global step 114472: loss = 0.0057 (0.156 sec/step)
INFO:tensorflow:global step 114473: loss = 0.0252 (0.169 sec/step)
I0724 06:10:19.607196 140531649939328 learning.py:512] global step 114473: loss = 0.0252 (0.169 sec/step)
INFO:tensorflow:global step 114474: loss = 0.0325 (0.168 sec/step)
I0724 06:10:19.776249 140531649939328 learning.py:512] global step 114474: loss = 0.0325 (0.168 sec/step)
INFO:tensorflow:global step 114475: loss = 0.0506 (0.152 sec/step)
I0724 06:10:19.929769 140531649939328 learning.py:512] global step 114475: loss = 0.0506 (0.152 sec/step)
INFO:tensorflow:global step 114476: loss = 0.0035 (0.149 sec/step)
I0724 06:10:20.080295 140531649939328 learning.py:512] global step 114476: loss = 0.0035 (0.149 sec/step)
INFO:tensorflow:global step 114477: loss = 0.0120 (0.157 sec/step)
I0724 06:10:20.238316 140531649939328 learning.py:512] global step 114477: loss = 0.0120 (0.157 sec/step)
INFO:tensorflow:global step 114478: loss = 0.0181 (0.185 sec/step)
I0724 06:10:20.425068 140531649939328 learning.py:512] global step 114478: loss = 0.0181 (0.185 sec/step)
INFO:tensorflow:global step 114479: loss = 0.0578 (0.157 sec/step)
I0724 06:10:20.583528 140531649939328 learning.py:512] global step 114479: loss = 0.0578 (0.157 sec/step)
INFO:tensorflow:global step 114480: loss = 0.0150 (0.174 sec/step)
I0724 06:10:20.759393 140531649939328 learning.py:512] global step 114480: loss = 0.0150 (0.174 sec/step)
INFO:tensorflow:global step 114481: loss = 0.0266 (0.160 sec/step)
I0724 06:10:20.920211 140531649939328 learning.py:512] global step 114481: loss = 0.0266 (0.160 sec/step)
INFO:tensorflow:global step 114482: loss = 0.0166 (0.150 sec/step)
I0724 06:10:21.071561 140531649939328 learning.py:512] global step 114482: loss = 0.0166 (0.150 sec/step)
INFO:tensorflow:global step 114483: loss = 0.0275 (0.172 sec/step)
I0724 06:10:21.245422 140531649939328 learning.py:512] global step 114483: loss = 0.0275 (0.172 sec/step)
INFO:tensorflow:global step 114484: loss = 0.0558 (0.149 sec/step)
I0724 06:10:21.395825 140531649939328 learning.py:512] global step 114484: loss = 0.0558 (0.149 sec/step)
INFO:tensorflow:global step 114485: loss = 0.0241 (0.165 sec/step)
I0724 06:10:21.563479 140531649939328 learning.py:512] global step 114485: loss = 0.0241 (0.165 sec/step)
INFO:tensorflow:global step 114486: loss = 0.0454 (0.176 sec/step)
I0724 06:10:21.741124 140531649939328 learning.py:512] global step 114486: loss = 0.0454 (0.176 sec/step)
INFO:tensorflow:global step 114487: loss = 0.0565 (0.156 sec/step)
I0724 06:10:21.898698 140531649939328 learning.py:512] global step 114487: loss = 0.0565 (0.156 sec/step)
INFO:tensorflow:global step 114488: loss = 0.0073 (0.192 sec/step)
I0724 06:10:22.091747 140531649939328 learning.py:512] global step 114488: loss = 0.0073 (0.192 sec/step)
INFO:tensorflow:global step 114489: loss = 0.1007 (0.216 sec/step)
I0724 06:10:22.309460 140531649939328 learning.py:512] global step 114489: loss = 0.1007 (0.216 sec/step)
INFO:tensorflow:global step 114490: loss = 0.0039 (0.196 sec/step)
I0724 06:10:22.507137 140531649939328 learning.py:512] global step 114490: loss = 0.0039 (0.196 sec/step)
INFO:tensorflow:global step 114491: loss = 0.0311 (0.167 sec/step)
I0724 06:10:22.675254 140531649939328 learning.py:512] global step 114491: loss = 0.0311 (0.167 sec/step)
INFO:tensorflow:global step 114492: loss = 0.0160 (0.146 sec/step)
I0724 06:10:22.822941 140531649939328 learning.py:512] global step 114492: loss = 0.0160 (0.146 sec/step)
INFO:tensorflow:global step 114493: loss = 0.0071 (0.143 sec/step)
I0724 06:10:22.967468 140531649939328 learning.py:512] global step 114493: loss = 0.0071 (0.143 sec/step)
INFO:tensorflow:global step 114494: loss = 0.0065 (0.166 sec/step)
I0724 06:10:23.134863 140531649939328 learning.py:512] global step 114494: loss = 0.0065 (0.166 sec/step)
INFO:tensorflow:global step 114495: loss = 0.0204 (0.157 sec/step)
I0724 06:10:23.292969 140531649939328 learning.py:512] global step 114495: loss = 0.0204 (0.157 sec/step)
INFO:tensorflow:global step 114496: loss = 0.0031 (0.149 sec/step)
I0724 06:10:23.443117 140531649939328 learning.py:512] global step 114496: loss = 0.0031 (0.149 sec/step)
INFO:tensorflow:global step 114497: loss = 0.0398 (0.157 sec/step)
I0724 06:10:23.600954 140531649939328 learning.py:512] global step 114497: loss = 0.0398 (0.157 sec/step)
INFO:tensorflow:global step 114498: loss = 0.0077 (0.161 sec/step)
I0724 06:10:23.763014 140531649939328 learning.py:512] global step 114498: loss = 0.0077 (0.161 sec/step)
INFO:tensorflow:global step 114499: loss = 0.0122 (0.154 sec/step)
I0724 06:10:23.918215 140531649939328 learning.py:512] global step 114499: loss = 0.0122 (0.154 sec/step)
INFO:tensorflow:global step 114500: loss = 0.1550 (0.156 sec/step)
I0724 06:10:24.075188 140531649939328 learning.py:512] global step 114500: loss = 0.1550 (0.156 sec/step)
INFO:tensorflow:global step 114501: loss = 0.0925 (0.170 sec/step)
I0724 06:10:24.246638 140531649939328 learning.py:512] global step 114501: loss = 0.0925 (0.170 sec/step)
INFO:tensorflow:global step 114502: loss = 0.0239 (0.175 sec/step)
I0724 06:10:24.423445 140531649939328 learning.py:512] global step 114502: loss = 0.0239 (0.175 sec/step)
INFO:tensorflow:global step 114503: loss = 0.0116 (0.166 sec/step)
I0724 06:10:24.590728 140531649939328 learning.py:512] global step 114503: loss = 0.0116 (0.166 sec/step)
INFO:tensorflow:global step 114504: loss = 0.0075 (0.160 sec/step)
I0724 06:10:24.752449 140531649939328 learning.py:512] global step 114504: loss = 0.0075 (0.160 sec/step)
INFO:tensorflow:global step 114505: loss = 0.0236 (0.172 sec/step)
I0724 06:10:24.927031 140531649939328 learning.py:512] global step 114505: loss = 0.0236 (0.172 sec/step)
INFO:tensorflow:global step 114506: loss = 0.0198 (0.172 sec/step)
I0724 06:10:25.100468 140531649939328 learning.py:512] global step 114506: loss = 0.0198 (0.172 sec/step)
INFO:tensorflow:global step 114507: loss = 0.0648 (0.162 sec/step)
I0724 06:10:25.263820 140531649939328 learning.py:512] global step 114507: loss = 0.0648 (0.162 sec/step)
INFO:tensorflow:global step 114508: loss = 0.1013 (0.172 sec/step)
I0724 06:10:25.436769 140531649939328 learning.py:512] global step 114508: loss = 0.1013 (0.172 sec/step)
INFO:tensorflow:global step 114509: loss = 0.0252 (0.195 sec/step)
I0724 06:10:25.633600 140531649939328 learning.py:512] global step 114509: loss = 0.0252 (0.195 sec/step)
INFO:tensorflow:global step 114510: loss = 0.0166 (0.185 sec/step)
I0724 06:10:25.820241 140531649939328 learning.py:512] global step 114510: loss = 0.0166 (0.185 sec/step)
INFO:tensorflow:global step 114511: loss = 0.0173 (0.157 sec/step)
I0724 06:10:25.978688 140531649939328 learning.py:512] global step 114511: loss = 0.0173 (0.157 sec/step)
INFO:tensorflow:global step 114512: loss = 0.0027 (0.163 sec/step)
I0724 06:10:26.142642 140531649939328 learning.py:512] global step 114512: loss = 0.0027 (0.163 sec/step)
INFO:tensorflow:global step 114513: loss = 0.0073 (0.158 sec/step)
I0724 06:10:26.302085 140531649939328 learning.py:512] global step 114513: loss = 0.0073 (0.158 sec/step)
INFO:tensorflow:global step 114514: loss = 0.0488 (0.176 sec/step)
I0724 06:10:26.479494 140531649939328 learning.py:512] global step 114514: loss = 0.0488 (0.176 sec/step)
INFO:tensorflow:global step 114515: loss = 0.0834 (0.197 sec/step)
I0724 06:10:26.678285 140531649939328 learning.py:512] global step 114515: loss = 0.0834 (0.197 sec/step)
INFO:tensorflow:global step 114516: loss = 0.0071 (0.166 sec/step)
I0724 06:10:26.845392 140531649939328 learning.py:512] global step 114516: loss = 0.0071 (0.166 sec/step)
INFO:tensorflow:global step 114517: loss = 0.0245 (0.171 sec/step)
I0724 06:10:27.018516 140531649939328 learning.py:512] global step 114517: loss = 0.0245 (0.171 sec/step)
INFO:tensorflow:global step 114518: loss = 0.0218 (0.163 sec/step)
I0724 06:10:27.183463 140531649939328 learning.py:512] global step 114518: loss = 0.0218 (0.163 sec/step)
INFO:tensorflow:global step 114519: loss = 0.0669 (0.155 sec/step)
I0724 06:10:27.340363 140531649939328 learning.py:512] global step 114519: loss = 0.0669 (0.155 sec/step)
INFO:tensorflow:global step 114520: loss = 0.0094 (0.199 sec/step)
I0724 06:10:27.540439 140531649939328 learning.py:512] global step 114520: loss = 0.0094 (0.199 sec/step)
INFO:tensorflow:global step 114521: loss = 0.0200 (0.172 sec/step)
I0724 06:10:27.714585 140531649939328 learning.py:512] global step 114521: loss = 0.0200 (0.172 sec/step)
INFO:tensorflow:global step 114522: loss = 0.0711 (0.168 sec/step)
I0724 06:10:27.884033 140531649939328 learning.py:512] global step 114522: loss = 0.0711 (0.168 sec/step)
INFO:tensorflow:global step 114523: loss = 0.0262 (0.169 sec/step)
I0724 06:10:28.053916 140531649939328 learning.py:512] global step 114523: loss = 0.0262 (0.169 sec/step)
INFO:tensorflow:global step 114524: loss = 0.0284 (0.164 sec/step)
I0724 06:10:28.218747 140531649939328 learning.py:512] global step 114524: loss = 0.0284 (0.164 sec/step)
INFO:tensorflow:global step 114525: loss = 0.0688 (0.162 sec/step)
I0724 06:10:28.382159 140531649939328 learning.py:512] global step 114525: loss = 0.0688 (0.162 sec/step)
INFO:tensorflow:global step 114526: loss = 0.0057 (0.160 sec/step)
I0724 06:10:28.543883 140531649939328 learning.py:512] global step 114526: loss = 0.0057 (0.160 sec/step)
INFO:tensorflow:global step 114527: loss = 0.0422 (0.170 sec/step)
I0724 06:10:28.715630 140531649939328 learning.py:512] global step 114527: loss = 0.0422 (0.170 sec/step)
INFO:tensorflow:global step 114528: loss = 0.0111 (0.158 sec/step)
I0724 06:10:28.874764 140531649939328 learning.py:512] global step 114528: loss = 0.0111 (0.158 sec/step)
INFO:tensorflow:global step 114529: loss = 0.0101 (0.157 sec/step)
I0724 06:10:29.032753 140531649939328 learning.py:512] global step 114529: loss = 0.0101 (0.157 sec/step)
INFO:tensorflow:global step 114530: loss = 0.0049 (0.147 sec/step)
I0724 06:10:29.180749 140531649939328 learning.py:512] global step 114530: loss = 0.0049 (0.147 sec/step)
INFO:tensorflow:global step 114531: loss = 0.0638 (0.163 sec/step)
I0724 06:10:29.345008 140531649939328 learning.py:512] global step 114531: loss = 0.0638 (0.163 sec/step)
INFO:tensorflow:global step 114532: loss = 0.0841 (0.171 sec/step)
I0724 06:10:29.517346 140531649939328 learning.py:512] global step 114532: loss = 0.0841 (0.171 sec/step)
INFO:tensorflow:global step 114533: loss = 0.0337 (0.162 sec/step)
I0724 06:10:29.680859 140531649939328 learning.py:512] global step 114533: loss = 0.0337 (0.162 sec/step)
INFO:tensorflow:global step 114534: loss = 0.0452 (0.167 sec/step)
I0724 06:10:29.849201 140531649939328 learning.py:512] global step 114534: loss = 0.0452 (0.167 sec/step)
INFO:tensorflow:global step 114535: loss = 0.1751 (0.161 sec/step)
I0724 06:10:30.011512 140531649939328 learning.py:512] global step 114535: loss = 0.1751 (0.161 sec/step)
INFO:tensorflow:global step 114536: loss = 0.0490 (0.195 sec/step)
I0724 06:10:30.208858 140531649939328 learning.py:512] global step 114536: loss = 0.0490 (0.195 sec/step)
INFO:tensorflow:global step 114537: loss = 0.0555 (0.275 sec/step)
I0724 06:10:30.486042 140531649939328 learning.py:512] global step 114537: loss = 0.0555 (0.275 sec/step)
INFO:tensorflow:global step 114538: loss = 0.1153 (0.256 sec/step)
I0724 06:10:30.744604 140531649939328 learning.py:512] global step 114538: loss = 0.1153 (0.256 sec/step)
INFO:tensorflow:global step 114539: loss = 0.0198 (0.200 sec/step)
I0724 06:10:30.946576 140531649939328 learning.py:512] global step 114539: loss = 0.0198 (0.200 sec/step)
INFO:tensorflow:global step 114540: loss = 0.0352 (0.173 sec/step)
I0724 06:10:31.121251 140531649939328 learning.py:512] global step 114540: loss = 0.0352 (0.173 sec/step)
INFO:tensorflow:global step 114541: loss = 0.0088 (0.186 sec/step)
I0724 06:10:31.308914 140531649939328 learning.py:512] global step 114541: loss = 0.0088 (0.186 sec/step)
INFO:tensorflow:global step 114542: loss = 0.1318 (0.156 sec/step)
I0724 06:10:31.466534 140531649939328 learning.py:512] global step 114542: loss = 0.1318 (0.156 sec/step)
INFO:tensorflow:global step 114543: loss = 0.0602 (0.157 sec/step)
I0724 06:10:31.624628 140531649939328 learning.py:512] global step 114543: loss = 0.0602 (0.157 sec/step)
INFO:tensorflow:global step 114544: loss = 0.0430 (0.144 sec/step)
I0724 06:10:31.769634 140531649939328 learning.py:512] global step 114544: loss = 0.0430 (0.144 sec/step)
INFO:tensorflow:global step 114545: loss = 0.0198 (0.171 sec/step)
I0724 06:10:31.941848 140531649939328 learning.py:512] global step 114545: loss = 0.0198 (0.171 sec/step)
INFO:tensorflow:global step 114546: loss = 0.0650 (0.165 sec/step)
I0724 06:10:32.108157 140531649939328 learning.py:512] global step 114546: loss = 0.0650 (0.165 sec/step)
INFO:tensorflow:global step 114547: loss = 0.0203 (0.167 sec/step)
I0724 06:10:32.276965 140531649939328 learning.py:512] global step 114547: loss = 0.0203 (0.167 sec/step)
INFO:tensorflow:global step 114548: loss = 0.0572 (0.171 sec/step)
I0724 06:10:32.449188 140531649939328 learning.py:512] global step 114548: loss = 0.0572 (0.171 sec/step)
INFO:tensorflow:global step 114549: loss = 0.0032 (0.167 sec/step)
I0724 06:10:32.617199 140531649939328 learning.py:512] global step 114549: loss = 0.0032 (0.167 sec/step)
INFO:tensorflow:global step 114550: loss = 0.0596 (0.175 sec/step)
I0724 06:10:32.793507 140531649939328 learning.py:512] global step 114550: loss = 0.0596 (0.175 sec/step)
INFO:tensorflow:global step 114551: loss = 0.0451 (0.182 sec/step)
I0724 06:10:32.977378 140531649939328 learning.py:512] global step 114551: loss = 0.0451 (0.182 sec/step)
INFO:tensorflow:global step 114552: loss = 0.0200 (0.175 sec/step)
I0724 06:10:33.154299 140531649939328 learning.py:512] global step 114552: loss = 0.0200 (0.175 sec/step)
INFO:tensorflow:global step 114553: loss = 0.0263 (0.153 sec/step)
I0724 06:10:33.308520 140531649939328 learning.py:512] global step 114553: loss = 0.0263 (0.153 sec/step)
INFO:tensorflow:global step 114554: loss = 0.0138 (0.163 sec/step)
I0724 06:10:33.473250 140531649939328 learning.py:512] global step 114554: loss = 0.0138 (0.163 sec/step)
INFO:tensorflow:global step 114555: loss = 0.0082 (0.165 sec/step)
I0724 06:10:33.639572 140531649939328 learning.py:512] global step 114555: loss = 0.0082 (0.165 sec/step)
INFO:tensorflow:global step 114556: loss = 0.0289 (0.150 sec/step)
I0724 06:10:33.791016 140531649939328 learning.py:512] global step 114556: loss = 0.0289 (0.150 sec/step)
INFO:tensorflow:global step 114557: loss = 0.0262 (0.154 sec/step)
I0724 06:10:33.945803 140531649939328 learning.py:512] global step 114557: loss = 0.0262 (0.154 sec/step)
INFO:tensorflow:global step 114558: loss = 0.0647 (0.157 sec/step)
I0724 06:10:34.103685 140531649939328 learning.py:512] global step 114558: loss = 0.0647 (0.157 sec/step)
INFO:tensorflow:global step 114559: loss = 0.0109 (0.164 sec/step)
I0724 06:10:34.269305 140531649939328 learning.py:512] global step 114559: loss = 0.0109 (0.164 sec/step)
INFO:tensorflow:global step 114560: loss = 0.0426 (0.168 sec/step)
I0724 06:10:34.439310 140531649939328 learning.py:512] global step 114560: loss = 0.0426 (0.168 sec/step)
INFO:tensorflow:global step 114561: loss = 0.0321 (0.171 sec/step)
I0724 06:10:34.611180 140531649939328 learning.py:512] global step 114561: loss = 0.0321 (0.171 sec/step)
INFO:tensorflow:global step 114562: loss = 0.0264 (0.183 sec/step)
I0724 06:10:34.795289 140531649939328 learning.py:512] global step 114562: loss = 0.0264 (0.183 sec/step)
INFO:tensorflow:global step 114563: loss = 0.0117 (0.157 sec/step)
I0724 06:10:34.953634 140531649939328 learning.py:512] global step 114563: loss = 0.0117 (0.157 sec/step)
INFO:tensorflow:global step 114564: loss = 0.0703 (0.167 sec/step)
I0724 06:10:35.122238 140531649939328 learning.py:512] global step 114564: loss = 0.0703 (0.167 sec/step)
INFO:tensorflow:global step 114565: loss = 0.0488 (0.151 sec/step)
I0724 06:10:35.274225 140531649939328 learning.py:512] global step 114565: loss = 0.0488 (0.151 sec/step)
INFO:tensorflow:global step 114566: loss = 0.1165 (0.178 sec/step)
I0724 06:10:35.453670 140531649939328 learning.py:512] global step 114566: loss = 0.1165 (0.178 sec/step)
INFO:tensorflow:global step 114567: loss = 0.0142 (0.147 sec/step)
I0724 06:10:35.602480 140531649939328 learning.py:512] global step 114567: loss = 0.0142 (0.147 sec/step)
INFO:tensorflow:global step 114568: loss = 0.0388 (0.174 sec/step)
I0724 06:10:35.778130 140531649939328 learning.py:512] global step 114568: loss = 0.0388 (0.174 sec/step)
INFO:tensorflow:global step 114569: loss = 0.1264 (0.154 sec/step)
I0724 06:10:35.933816 140531649939328 learning.py:512] global step 114569: loss = 0.1264 (0.154 sec/step)
INFO:tensorflow:global step 114570: loss = 0.1026 (0.151 sec/step)
I0724 06:10:36.086331 140531649939328 learning.py:512] global step 114570: loss = 0.1026 (0.151 sec/step)
INFO:tensorflow:global step 114571: loss = 0.0851 (0.170 sec/step)
I0724 06:10:36.257508 140531649939328 learning.py:512] global step 114571: loss = 0.0851 (0.170 sec/step)
INFO:tensorflow:global step 114572: loss = 0.0912 (0.168 sec/step)
I0724 06:10:36.426618 140531649939328 learning.py:512] global step 114572: loss = 0.0912 (0.168 sec/step)
INFO:tensorflow:global step 114573: loss = 0.0042 (0.150 sec/step)
I0724 06:10:36.577752 140531649939328 learning.py:512] global step 114573: loss = 0.0042 (0.150 sec/step)
INFO:tensorflow:global step 114574: loss = 0.0865 (0.171 sec/step)
I0724 06:10:36.750629 140531649939328 learning.py:512] global step 114574: loss = 0.0865 (0.171 sec/step)
INFO:tensorflow:global step 114575: loss = 0.0231 (0.156 sec/step)
I0724 06:10:36.907966 140531649939328 learning.py:512] global step 114575: loss = 0.0231 (0.156 sec/step)
INFO:tensorflow:global step 114576: loss = 0.0356 (0.167 sec/step)
I0724 06:10:37.075965 140531649939328 learning.py:512] global step 114576: loss = 0.0356 (0.167 sec/step)
INFO:tensorflow:global step 114577: loss = 0.0446 (0.147 sec/step)
I0724 06:10:37.224467 140531649939328 learning.py:512] global step 114577: loss = 0.0446 (0.147 sec/step)
INFO:tensorflow:global step 114578: loss = 0.0444 (0.160 sec/step)
I0724 06:10:37.385779 140531649939328 learning.py:512] global step 114578: loss = 0.0444 (0.160 sec/step)
INFO:tensorflow:global step 114579: loss = 0.0551 (0.163 sec/step)
I0724 06:10:37.550539 140531649939328 learning.py:512] global step 114579: loss = 0.0551 (0.163 sec/step)
INFO:tensorflow:global step 114580: loss = 0.0091 (0.170 sec/step)
I0724 06:10:37.722050 140531649939328 learning.py:512] global step 114580: loss = 0.0091 (0.170 sec/step)
INFO:tensorflow:global step 114581: loss = 0.0324 (0.162 sec/step)
I0724 06:10:37.885218 140531649939328 learning.py:512] global step 114581: loss = 0.0324 (0.162 sec/step)
INFO:tensorflow:global step 114582: loss = 0.0212 (0.160 sec/step)
I0724 06:10:38.046200 140531649939328 learning.py:512] global step 114582: loss = 0.0212 (0.160 sec/step)
INFO:tensorflow:global step 114583: loss = 0.0426 (0.153 sec/step)
I0724 06:10:38.200118 140531649939328 learning.py:512] global step 114583: loss = 0.0426 (0.153 sec/step)
INFO:tensorflow:global step 114584: loss = 0.0178 (0.169 sec/step)
I0724 06:10:38.369944 140531649939328 learning.py:512] global step 114584: loss = 0.0178 (0.169 sec/step)
INFO:tensorflow:global step 114585: loss = 0.0079 (0.160 sec/step)
I0724 06:10:38.530875 140531649939328 learning.py:512] global step 114585: loss = 0.0079 (0.160 sec/step)
INFO:tensorflow:global step 114586: loss = 0.0072 (0.153 sec/step)
I0724 06:10:38.684940 140531649939328 learning.py:512] global step 114586: loss = 0.0072 (0.153 sec/step)
INFO:tensorflow:global step 114587: loss = 0.0356 (0.170 sec/step)
I0724 06:10:38.856957 140531649939328 learning.py:512] global step 114587: loss = 0.0356 (0.170 sec/step)
INFO:tensorflow:global step 114588: loss = 0.0786 (0.164 sec/step)
I0724 06:10:39.022493 140531649939328 learning.py:512] global step 114588: loss = 0.0786 (0.164 sec/step)
INFO:tensorflow:global step 114589: loss = 0.0896 (0.162 sec/step)
I0724 06:10:39.186187 140531649939328 learning.py:512] global step 114589: loss = 0.0896 (0.162 sec/step)
INFO:tensorflow:global step 114590: loss = 0.0249 (0.159 sec/step)
I0724 06:10:39.346980 140531649939328 learning.py:512] global step 114590: loss = 0.0249 (0.159 sec/step)
INFO:tensorflow:global step 114591: loss = 0.0419 (0.153 sec/step)
I0724 06:10:39.501176 140531649939328 learning.py:512] global step 114591: loss = 0.0419 (0.153 sec/step)
INFO:tensorflow:global step 114592: loss = 0.0260 (0.166 sec/step)
I0724 06:10:39.668630 140531649939328 learning.py:512] global step 114592: loss = 0.0260 (0.166 sec/step)
INFO:tensorflow:global step 114593: loss = 0.0233 (0.189 sec/step)
I0724 06:10:39.859185 140531649939328 learning.py:512] global step 114593: loss = 0.0233 (0.189 sec/step)
INFO:tensorflow:global step 114594: loss = 0.0480 (0.159 sec/step)
I0724 06:10:40.020305 140531649939328 learning.py:512] global step 114594: loss = 0.0480 (0.159 sec/step)
INFO:tensorflow:global step 114595: loss = 0.0130 (0.165 sec/step)
I0724 06:10:40.186662 140531649939328 learning.py:512] global step 114595: loss = 0.0130 (0.165 sec/step)
INFO:tensorflow:global step 114596: loss = 0.0133 (0.156 sec/step)
I0724 06:10:40.343891 140531649939328 learning.py:512] global step 114596: loss = 0.0133 (0.156 sec/step)
INFO:tensorflow:global step 114597: loss = 0.0030 (0.153 sec/step)
I0724 06:10:40.497942 140531649939328 learning.py:512] global step 114597: loss = 0.0030 (0.153 sec/step)
INFO:tensorflow:global step 114598: loss = 0.0168 (0.154 sec/step)
I0724 06:10:40.653235 140531649939328 learning.py:512] global step 114598: loss = 0.0168 (0.154 sec/step)
INFO:tensorflow:global step 114599: loss = 0.0517 (0.150 sec/step)
I0724 06:10:40.804768 140531649939328 learning.py:512] global step 114599: loss = 0.0517 (0.150 sec/step)
INFO:tensorflow:global step 114600: loss = 0.0114 (0.174 sec/step)
I0724 06:10:40.980336 140531649939328 learning.py:512] global step 114600: loss = 0.0114 (0.174 sec/step)
INFO:tensorflow:global step 114601: loss = 0.0533 (0.170 sec/step)
I0724 06:10:41.151192 140531649939328 learning.py:512] global step 114601: loss = 0.0533 (0.170 sec/step)
INFO:tensorflow:global step 114602: loss = 0.0489 (0.153 sec/step)
I0724 06:10:41.305615 140531649939328 learning.py:512] global step 114602: loss = 0.0489 (0.153 sec/step)
INFO:tensorflow:global step 114603: loss = 0.0036 (0.160 sec/step)
I0724 06:10:41.467652 140531649939328 learning.py:512] global step 114603: loss = 0.0036 (0.160 sec/step)
INFO:tensorflow:global step 114604: loss = 0.0154 (0.152 sec/step)
I0724 06:10:41.621050 140531649939328 learning.py:512] global step 114604: loss = 0.0154 (0.152 sec/step)
INFO:tensorflow:global step 114605: loss = 0.0967 (0.159 sec/step)
I0724 06:10:41.781613 140531649939328 learning.py:512] global step 114605: loss = 0.0967 (0.159 sec/step)
INFO:tensorflow:global step 114606: loss = 0.0249 (0.158 sec/step)
I0724 06:10:41.940801 140531649939328 learning.py:512] global step 114606: loss = 0.0249 (0.158 sec/step)
INFO:tensorflow:global step 114607: loss = 0.0098 (0.154 sec/step)
I0724 06:10:42.097057 140531649939328 learning.py:512] global step 114607: loss = 0.0098 (0.154 sec/step)
INFO:tensorflow:global step 114608: loss = 0.0176 (0.160 sec/step)
I0724 06:10:42.258310 140531649939328 learning.py:512] global step 114608: loss = 0.0176 (0.160 sec/step)
INFO:tensorflow:global step 114609: loss = 0.0185 (0.156 sec/step)
I0724 06:10:42.415745 140531649939328 learning.py:512] global step 114609: loss = 0.0185 (0.156 sec/step)
INFO:tensorflow:global step 114610: loss = 0.0273 (0.167 sec/step)
I0724 06:10:42.583951 140531649939328 learning.py:512] global step 114610: loss = 0.0273 (0.167 sec/step)
INFO:tensorflow:global step 114611: loss = 0.1813 (0.150 sec/step)
I0724 06:10:42.735640 140531649939328 learning.py:512] global step 114611: loss = 0.1813 (0.150 sec/step)
INFO:tensorflow:global step 114612: loss = 0.0160 (0.165 sec/step)
I0724 06:10:42.904972 140531649939328 learning.py:512] global step 114612: loss = 0.0160 (0.165 sec/step)
INFO:tensorflow:global step 114613: loss = 0.0282 (0.159 sec/step)
I0724 06:10:43.066137 140531649939328 learning.py:512] global step 114613: loss = 0.0282 (0.159 sec/step)
INFO:tensorflow:global step 114614: loss = 0.0398 (0.165 sec/step)
I0724 06:10:43.232140 140531649939328 learning.py:512] global step 114614: loss = 0.0398 (0.165 sec/step)
INFO:tensorflow:global step 114615: loss = 0.0192 (0.167 sec/step)
I0724 06:10:43.400645 140531649939328 learning.py:512] global step 114615: loss = 0.0192 (0.167 sec/step)
INFO:tensorflow:global step 114616: loss = 0.0211 (0.170 sec/step)
I0724 06:10:43.572092 140531649939328 learning.py:512] global step 114616: loss = 0.0211 (0.170 sec/step)
INFO:tensorflow:global step 114617: loss = 0.0239 (0.148 sec/step)
I0724 06:10:43.721818 140531649939328 learning.py:512] global step 114617: loss = 0.0239 (0.148 sec/step)
INFO:tensorflow:global step 114618: loss = 0.0537 (0.156 sec/step)
I0724 06:10:43.880336 140531649939328 learning.py:512] global step 114618: loss = 0.0537 (0.156 sec/step)
INFO:tensorflow:global step 114619: loss = 0.1148 (0.160 sec/step)
I0724 06:10:44.043198 140531649939328 learning.py:512] global step 114619: loss = 0.1148 (0.160 sec/step)
INFO:tensorflow:global step 114620: loss = 0.0125 (0.168 sec/step)
I0724 06:10:44.212907 140531649939328 learning.py:512] global step 114620: loss = 0.0125 (0.168 sec/step)
INFO:tensorflow:global step 114621: loss = 0.0266 (0.165 sec/step)
I0724 06:10:44.379591 140531649939328 learning.py:512] global step 114621: loss = 0.0266 (0.165 sec/step)
INFO:tensorflow:global step 114622: loss = 0.0239 (0.170 sec/step)
I0724 06:10:44.550940 140531649939328 learning.py:512] global step 114622: loss = 0.0239 (0.170 sec/step)
INFO:tensorflow:global step 114623: loss = 0.0115 (0.155 sec/step)
I0724 06:10:44.707958 140531649939328 learning.py:512] global step 114623: loss = 0.0115 (0.155 sec/step)
INFO:tensorflow:global step 114624: loss = 0.0228 (0.155 sec/step)
I0724 06:10:44.864624 140531649939328 learning.py:512] global step 114624: loss = 0.0228 (0.155 sec/step)
INFO:tensorflow:global step 114625: loss = 0.0204 (0.168 sec/step)
I0724 06:10:45.033884 140531649939328 learning.py:512] global step 114625: loss = 0.0204 (0.168 sec/step)
INFO:tensorflow:global step 114626: loss = 0.0088 (0.168 sec/step)
I0724 06:10:45.203557 140531649939328 learning.py:512] global step 114626: loss = 0.0088 (0.168 sec/step)
INFO:tensorflow:global step 114627: loss = 0.0220 (0.178 sec/step)
I0724 06:10:45.382718 140531649939328 learning.py:512] global step 114627: loss = 0.0220 (0.178 sec/step)
INFO:tensorflow:global step 114628: loss = 0.0190 (0.169 sec/step)
I0724 06:10:45.552944 140531649939328 learning.py:512] global step 114628: loss = 0.0190 (0.169 sec/step)
INFO:tensorflow:global step 114629: loss = 0.1231 (0.152 sec/step)
I0724 06:10:45.706782 140531649939328 learning.py:512] global step 114629: loss = 0.1231 (0.152 sec/step)
INFO:tensorflow:global step 114630: loss = 0.0069 (0.156 sec/step)
I0724 06:10:45.863894 140531649939328 learning.py:512] global step 114630: loss = 0.0069 (0.156 sec/step)
INFO:tensorflow:global step 114631: loss = 0.0094 (0.173 sec/step)
I0724 06:10:46.038252 140531649939328 learning.py:512] global step 114631: loss = 0.0094 (0.173 sec/step)
INFO:tensorflow:global step 114632: loss = 0.0153 (0.173 sec/step)
I0724 06:10:46.212298 140531649939328 learning.py:512] global step 114632: loss = 0.0153 (0.173 sec/step)
INFO:tensorflow:global step 114633: loss = 0.0124 (0.162 sec/step)
I0724 06:10:46.375882 140531649939328 learning.py:512] global step 114633: loss = 0.0124 (0.162 sec/step)
INFO:tensorflow:global step 114634: loss = 0.0665 (0.175 sec/step)
I0724 06:10:46.552493 140531649939328 learning.py:512] global step 114634: loss = 0.0665 (0.175 sec/step)
INFO:tensorflow:global step 114635: loss = 0.0289 (0.161 sec/step)
I0724 06:10:46.715409 140531649939328 learning.py:512] global step 114635: loss = 0.0289 (0.161 sec/step)
INFO:tensorflow:global step 114636: loss = 0.0145 (0.166 sec/step)
I0724 06:10:46.882720 140531649939328 learning.py:512] global step 114636: loss = 0.0145 (0.166 sec/step)
INFO:tensorflow:global step 114637: loss = 0.1346 (0.171 sec/step)
I0724 06:10:47.054614 140531649939328 learning.py:512] global step 114637: loss = 0.1346 (0.171 sec/step)
INFO:tensorflow:global step 114638: loss = 0.0056 (0.157 sec/step)
I0724 06:10:47.213468 140531649939328 learning.py:512] global step 114638: loss = 0.0056 (0.157 sec/step)
INFO:tensorflow:global step 114639: loss = 0.1048 (0.157 sec/step)
I0724 06:10:47.371613 140531649939328 learning.py:512] global step 114639: loss = 0.1048 (0.157 sec/step)
INFO:tensorflow:global step 114640: loss = 0.0139 (0.156 sec/step)
I0724 06:10:47.529065 140531649939328 learning.py:512] global step 114640: loss = 0.0139 (0.156 sec/step)
INFO:tensorflow:global step 114641: loss = 0.0160 (0.165 sec/step)
I0724 06:10:47.695374 140531649939328 learning.py:512] global step 114641: loss = 0.0160 (0.165 sec/step)
INFO:tensorflow:global step 114642: loss = 0.0907 (0.168 sec/step)
I0724 06:10:47.864972 140531649939328 learning.py:512] global step 114642: loss = 0.0907 (0.168 sec/step)
INFO:tensorflow:global step 114643: loss = 0.0123 (0.184 sec/step)
I0724 06:10:48.050693 140531649939328 learning.py:512] global step 114643: loss = 0.0123 (0.184 sec/step)
INFO:tensorflow:global step 114644: loss = 0.0426 (0.161 sec/step)
I0724 06:10:48.212899 140531649939328 learning.py:512] global step 114644: loss = 0.0426 (0.161 sec/step)
INFO:tensorflow:global step 114645: loss = 0.0308 (0.164 sec/step)
I0724 06:10:48.378148 140531649939328 learning.py:512] global step 114645: loss = 0.0308 (0.164 sec/step)
INFO:tensorflow:global step 114646: loss = 0.0109 (0.151 sec/step)
I0724 06:10:48.530949 140531649939328 learning.py:512] global step 114646: loss = 0.0109 (0.151 sec/step)
INFO:tensorflow:global step 114647: loss = 0.0693 (0.171 sec/step)
I0724 06:10:48.703110 140531649939328 learning.py:512] global step 114647: loss = 0.0693 (0.171 sec/step)
INFO:tensorflow:global step 114648: loss = 0.0133 (0.175 sec/step)
I0724 06:10:48.879242 140531649939328 learning.py:512] global step 114648: loss = 0.0133 (0.175 sec/step)
INFO:tensorflow:global step 114649: loss = 0.1036 (0.181 sec/step)
I0724 06:10:49.061632 140531649939328 learning.py:512] global step 114649: loss = 0.1036 (0.181 sec/step)
INFO:tensorflow:global step 114650: loss = 0.0188 (0.165 sec/step)
I0724 06:10:49.228304 140531649939328 learning.py:512] global step 114650: loss = 0.0188 (0.165 sec/step)
INFO:tensorflow:global step 114651: loss = 0.0164 (0.164 sec/step)
I0724 06:10:49.393711 140531649939328 learning.py:512] global step 114651: loss = 0.0164 (0.164 sec/step)
INFO:tensorflow:global step 114652: loss = 0.0176 (0.170 sec/step)
I0724 06:10:49.565057 140531649939328 learning.py:512] global step 114652: loss = 0.0176 (0.170 sec/step)
INFO:tensorflow:global step 114653: loss = 0.0502 (0.148 sec/step)
I0724 06:10:49.714278 140531649939328 learning.py:512] global step 114653: loss = 0.0502 (0.148 sec/step)
INFO:tensorflow:global step 114654: loss = 0.0164 (0.160 sec/step)
I0724 06:10:49.875783 140531649939328 learning.py:512] global step 114654: loss = 0.0164 (0.160 sec/step)
INFO:tensorflow:global step 114655: loss = 0.0230 (0.161 sec/step)
I0724 06:10:50.038807 140531649939328 learning.py:512] global step 114655: loss = 0.0230 (0.161 sec/step)
INFO:tensorflow:global step 114656: loss = 0.0595 (0.180 sec/step)
I0724 06:10:50.219934 140531649939328 learning.py:512] global step 114656: loss = 0.0595 (0.180 sec/step)
INFO:tensorflow:global step 114657: loss = 0.0124 (0.164 sec/step)
I0724 06:10:50.384827 140531649939328 learning.py:512] global step 114657: loss = 0.0124 (0.164 sec/step)
INFO:tensorflow:global step 114658: loss = 0.0630 (0.157 sec/step)
I0724 06:10:50.543070 140531649939328 learning.py:512] global step 114658: loss = 0.0630 (0.157 sec/step)
INFO:tensorflow:global step 114659: loss = 0.0066 (0.156 sec/step)
I0724 06:10:50.700590 140531649939328 learning.py:512] global step 114659: loss = 0.0066 (0.156 sec/step)
INFO:tensorflow:global step 114660: loss = 0.0458 (0.168 sec/step)
I0724 06:10:50.869461 140531649939328 learning.py:512] global step 114660: loss = 0.0458 (0.168 sec/step)
INFO:tensorflow:global step 114661: loss = 0.0172 (0.155 sec/step)
I0724 06:10:51.026192 140531649939328 learning.py:512] global step 114661: loss = 0.0172 (0.155 sec/step)
INFO:tensorflow:global step 114662: loss = 0.0189 (0.157 sec/step)
I0724 06:10:51.184704 140531649939328 learning.py:512] global step 114662: loss = 0.0189 (0.157 sec/step)
INFO:tensorflow:global step 114663: loss = 0.0141 (0.185 sec/step)
I0724 06:10:51.371617 140531649939328 learning.py:512] global step 114663: loss = 0.0141 (0.185 sec/step)
INFO:tensorflow:global step 114664: loss = 0.0207 (0.161 sec/step)
I0724 06:10:51.533852 140531649939328 learning.py:512] global step 114664: loss = 0.0207 (0.161 sec/step)
INFO:tensorflow:global step 114665: loss = 0.0168 (0.146 sec/step)
I0724 06:10:51.681427 140531649939328 learning.py:512] global step 114665: loss = 0.0168 (0.146 sec/step)
INFO:tensorflow:global step 114666: loss = 0.2223 (0.168 sec/step)
I0724 06:10:51.850982 140531649939328 learning.py:512] global step 114666: loss = 0.2223 (0.168 sec/step)
INFO:tensorflow:global step 114667: loss = 0.0042 (0.155 sec/step)
I0724 06:10:52.007550 140531649939328 learning.py:512] global step 114667: loss = 0.0042 (0.155 sec/step)
INFO:tensorflow:global step 114668: loss = 0.0275 (0.179 sec/step)
I0724 06:10:52.187665 140531649939328 learning.py:512] global step 114668: loss = 0.0275 (0.179 sec/step)
INFO:tensorflow:global step 114669: loss = 0.0873 (0.160 sec/step)
I0724 06:10:52.349143 140531649939328 learning.py:512] global step 114669: loss = 0.0873 (0.160 sec/step)
INFO:tensorflow:global step 114670: loss = 0.0351 (0.169 sec/step)
I0724 06:10:52.519150 140531649939328 learning.py:512] global step 114670: loss = 0.0351 (0.169 sec/step)
INFO:tensorflow:global step 114671: loss = 0.0607 (0.147 sec/step)
I0724 06:10:52.667397 140531649939328 learning.py:512] global step 114671: loss = 0.0607 (0.147 sec/step)
INFO:tensorflow:global step 114672: loss = 0.0312 (0.155 sec/step)
I0724 06:10:52.823916 140531649939328 learning.py:512] global step 114672: loss = 0.0312 (0.155 sec/step)
INFO:tensorflow:global step 114673: loss = 0.0207 (0.142 sec/step)
I0724 06:10:52.967670 140531649939328 learning.py:512] global step 114673: loss = 0.0207 (0.142 sec/step)
INFO:tensorflow:global step 114674: loss = 0.0221 (0.182 sec/step)
I0724 06:10:53.152372 140531649939328 learning.py:512] global step 114674: loss = 0.0221 (0.182 sec/step)
INFO:tensorflow:global step 114675: loss = 0.0907 (0.157 sec/step)
I0724 06:10:53.311110 140531649939328 learning.py:512] global step 114675: loss = 0.0907 (0.157 sec/step)
INFO:tensorflow:global step 114676: loss = 0.0439 (0.169 sec/step)
I0724 06:10:53.481988 140531649939328 learning.py:512] global step 114676: loss = 0.0439 (0.169 sec/step)
INFO:tensorflow:global step 114677: loss = 0.0218 (0.164 sec/step)
I0724 06:10:53.646870 140531649939328 learning.py:512] global step 114677: loss = 0.0218 (0.164 sec/step)
INFO:tensorflow:global step 114678: loss = 0.0027 (0.161 sec/step)
I0724 06:10:53.809554 140531649939328 learning.py:512] global step 114678: loss = 0.0027 (0.161 sec/step)
INFO:tensorflow:global step 114679: loss = 0.0087 (0.155 sec/step)
I0724 06:10:53.966368 140531649939328 learning.py:512] global step 114679: loss = 0.0087 (0.155 sec/step)
INFO:tensorflow:global step 114680: loss = 0.0276 (0.165 sec/step)
I0724 06:10:54.132385 140531649939328 learning.py:512] global step 114680: loss = 0.0276 (0.165 sec/step)
INFO:tensorflow:global step 114681: loss = 0.1167 (0.163 sec/step)
I0724 06:10:54.297394 140531649939328 learning.py:512] global step 114681: loss = 0.1167 (0.163 sec/step)
INFO:tensorflow:global step 114682: loss = 0.0020 (0.153 sec/step)
I0724 06:10:54.451492 140531649939328 learning.py:512] global step 114682: loss = 0.0020 (0.153 sec/step)
INFO:tensorflow:global step 114683: loss = 0.0193 (0.164 sec/step)
I0724 06:10:54.617319 140531649939328 learning.py:512] global step 114683: loss = 0.0193 (0.164 sec/step)
INFO:tensorflow:global step 114684: loss = 0.0337 (0.158 sec/step)
I0724 06:10:54.776382 140531649939328 learning.py:512] global step 114684: loss = 0.0337 (0.158 sec/step)
INFO:tensorflow:global step 114685: loss = 0.0086 (0.170 sec/step)
I0724 06:10:54.947406 140531649939328 learning.py:512] global step 114685: loss = 0.0086 (0.170 sec/step)
INFO:tensorflow:global step 114686: loss = 0.0106 (0.159 sec/step)
I0724 06:10:55.108159 140531649939328 learning.py:512] global step 114686: loss = 0.0106 (0.159 sec/step)
INFO:tensorflow:global step 114687: loss = 0.0204 (0.167 sec/step)
I0724 06:10:55.276658 140531649939328 learning.py:512] global step 114687: loss = 0.0204 (0.167 sec/step)
INFO:tensorflow:global step 114688: loss = 0.0263 (0.169 sec/step)
I0724 06:10:55.446927 140531649939328 learning.py:512] global step 114688: loss = 0.0263 (0.169 sec/step)
INFO:tensorflow:global step 114689: loss = 0.0119 (0.142 sec/step)
I0724 06:10:55.590369 140531649939328 learning.py:512] global step 114689: loss = 0.0119 (0.142 sec/step)
INFO:tensorflow:global step 114690: loss = 0.0331 (0.159 sec/step)
I0724 06:10:55.750631 140531649939328 learning.py:512] global step 114690: loss = 0.0331 (0.159 sec/step)
INFO:tensorflow:global step 114691: loss = 0.0203 (0.160 sec/step)
I0724 06:10:55.912470 140531649939328 learning.py:512] global step 114691: loss = 0.0203 (0.160 sec/step)
INFO:tensorflow:global step 114692: loss = 0.0471 (0.167 sec/step)
I0724 06:10:56.080431 140531649939328 learning.py:512] global step 114692: loss = 0.0471 (0.167 sec/step)
INFO:tensorflow:global step 114693: loss = 0.0149 (0.165 sec/step)
I0724 06:10:56.246998 140531649939328 learning.py:512] global step 114693: loss = 0.0149 (0.165 sec/step)
INFO:tensorflow:global step 114694: loss = 0.0593 (0.159 sec/step)
I0724 06:10:56.407595 140531649939328 learning.py:512] global step 114694: loss = 0.0593 (0.159 sec/step)
INFO:tensorflow:global step 114695: loss = 0.0249 (0.159 sec/step)
I0724 06:10:56.567833 140531649939328 learning.py:512] global step 114695: loss = 0.0249 (0.159 sec/step)
INFO:tensorflow:global step 114696: loss = 0.0373 (0.155 sec/step)
I0724 06:10:56.723944 140531649939328 learning.py:512] global step 114696: loss = 0.0373 (0.155 sec/step)
INFO:tensorflow:global step 114697: loss = 0.0091 (0.152 sec/step)
I0724 06:10:56.877464 140531649939328 learning.py:512] global step 114697: loss = 0.0091 (0.152 sec/step)
INFO:tensorflow:global step 114698: loss = 0.0110 (0.156 sec/step)
I0724 06:10:57.035476 140531649939328 learning.py:512] global step 114698: loss = 0.0110 (0.156 sec/step)
INFO:tensorflow:global step 114699: loss = 0.0081 (0.145 sec/step)
I0724 06:10:57.181918 140531649939328 learning.py:512] global step 114699: loss = 0.0081 (0.145 sec/step)
INFO:tensorflow:global step 114700: loss = 0.0112 (0.168 sec/step)
I0724 06:10:57.351763 140531649939328 learning.py:512] global step 114700: loss = 0.0112 (0.168 sec/step)
INFO:tensorflow:global step 114701: loss = 0.0543 (0.147 sec/step)
I0724 06:10:57.499715 140531649939328 learning.py:512] global step 114701: loss = 0.0543 (0.147 sec/step)
INFO:tensorflow:global step 114702: loss = 0.0253 (0.163 sec/step)
I0724 06:10:57.664501 140531649939328 learning.py:512] global step 114702: loss = 0.0253 (0.163 sec/step)
INFO:tensorflow:global step 114703: loss = 0.0030 (0.157 sec/step)
I0724 06:10:57.822819 140531649939328 learning.py:512] global step 114703: loss = 0.0030 (0.157 sec/step)
INFO:tensorflow:global step 114704: loss = 0.0116 (0.165 sec/step)
I0724 06:10:57.989694 140531649939328 learning.py:512] global step 114704: loss = 0.0116 (0.165 sec/step)
INFO:tensorflow:global step 114705: loss = 0.0397 (0.169 sec/step)
I0724 06:10:58.160337 140531649939328 learning.py:512] global step 114705: loss = 0.0397 (0.169 sec/step)
INFO:tensorflow:global step 114706: loss = 0.0274 (0.177 sec/step)
I0724 06:10:58.338612 140531649939328 learning.py:512] global step 114706: loss = 0.0274 (0.177 sec/step)
INFO:tensorflow:global step 114707: loss = 0.0349 (0.159 sec/step)
I0724 06:10:58.498992 140531649939328 learning.py:512] global step 114707: loss = 0.0349 (0.159 sec/step)
INFO:tensorflow:global step 114708: loss = 0.0091 (0.160 sec/step)
I0724 06:10:58.660171 140531649939328 learning.py:512] global step 114708: loss = 0.0091 (0.160 sec/step)
INFO:tensorflow:global step 114709: loss = 0.0160 (0.153 sec/step)
I0724 06:10:58.814319 140531649939328 learning.py:512] global step 114709: loss = 0.0160 (0.153 sec/step)
INFO:tensorflow:global step 114710: loss = 0.0207 (0.161 sec/step)
I0724 06:10:58.977179 140531649939328 learning.py:512] global step 114710: loss = 0.0207 (0.161 sec/step)
INFO:tensorflow:global step 114711: loss = 0.0629 (0.150 sec/step)
I0724 06:10:59.128753 140531649939328 learning.py:512] global step 114711: loss = 0.0629 (0.150 sec/step)
INFO:tensorflow:global step 114712: loss = 0.0212 (0.169 sec/step)
I0724 06:10:59.299669 140531649939328 learning.py:512] global step 114712: loss = 0.0212 (0.169 sec/step)
INFO:tensorflow:global step 114713: loss = 0.0128 (0.174 sec/step)
I0724 06:10:59.474900 140531649939328 learning.py:512] global step 114713: loss = 0.0128 (0.174 sec/step)
INFO:tensorflow:global step 114714: loss = 0.0473 (0.150 sec/step)
I0724 06:10:59.626241 140531649939328 learning.py:512] global step 114714: loss = 0.0473 (0.150 sec/step)
INFO:tensorflow:global step 114715: loss = 0.0617 (0.167 sec/step)
I0724 06:10:59.795081 140531649939328 learning.py:512] global step 114715: loss = 0.0617 (0.167 sec/step)
INFO:tensorflow:global step 114716: loss = 0.0358 (0.174 sec/step)
I0724 06:10:59.970575 140531649939328 learning.py:512] global step 114716: loss = 0.0358 (0.174 sec/step)
INFO:tensorflow:global step 114717: loss = 0.0944 (0.147 sec/step)
I0724 06:11:00.118966 140531649939328 learning.py:512] global step 114717: loss = 0.0944 (0.147 sec/step)
INFO:tensorflow:global step 114718: loss = 0.0287 (0.167 sec/step)
I0724 06:11:00.287125 140531649939328 learning.py:512] global step 114718: loss = 0.0287 (0.167 sec/step)
INFO:tensorflow:global step 114719: loss = 0.0740 (0.165 sec/step)
I0724 06:11:00.453010 140531649939328 learning.py:512] global step 114719: loss = 0.0740 (0.165 sec/step)
INFO:tensorflow:global step 114720: loss = 0.0223 (0.159 sec/step)
I0724 06:11:00.613487 140531649939328 learning.py:512] global step 114720: loss = 0.0223 (0.159 sec/step)
INFO:tensorflow:global step 114721: loss = 0.0124 (0.167 sec/step)
I0724 06:11:00.781564 140531649939328 learning.py:512] global step 114721: loss = 0.0124 (0.167 sec/step)
INFO:tensorflow:global step 114722: loss = 0.0096 (0.192 sec/step)
I0724 06:11:00.974873 140531649939328 learning.py:512] global step 114722: loss = 0.0096 (0.192 sec/step)
INFO:tensorflow:global step 114723: loss = 0.0358 (0.240 sec/step)
I0724 06:11:01.216217 140531649939328 learning.py:512] global step 114723: loss = 0.0358 (0.240 sec/step)
INFO:tensorflow:global step 114724: loss = 0.1221 (0.206 sec/step)
I0724 06:11:01.425721 140531649939328 learning.py:512] global step 114724: loss = 0.1221 (0.206 sec/step)
INFO:tensorflow:global step 114725: loss = 0.0695 (0.241 sec/step)
I0724 06:11:01.667927 140531649939328 learning.py:512] global step 114725: loss = 0.0695 (0.241 sec/step)
INFO:tensorflow:global step 114726: loss = 0.0254 (0.174 sec/step)
I0724 06:11:01.842974 140531649939328 learning.py:512] global step 114726: loss = 0.0254 (0.174 sec/step)
INFO:tensorflow:global step 114727: loss = 0.0150 (0.163 sec/step)
I0724 06:11:02.007790 140531649939328 learning.py:512] global step 114727: loss = 0.0150 (0.163 sec/step)
INFO:tensorflow:global step 114728: loss = 0.0749 (0.166 sec/step)
I0724 06:11:02.175153 140531649939328 learning.py:512] global step 114728: loss = 0.0749 (0.166 sec/step)
INFO:tensorflow:global step 114729: loss = 0.0717 (0.163 sec/step)
I0724 06:11:02.339386 140531649939328 learning.py:512] global step 114729: loss = 0.0717 (0.163 sec/step)
INFO:tensorflow:global step 114730: loss = 0.0345 (0.160 sec/step)
I0724 06:11:02.501544 140531649939328 learning.py:512] global step 114730: loss = 0.0345 (0.160 sec/step)
INFO:tensorflow:global step 114731: loss = 0.0413 (0.165 sec/step)
I0724 06:11:02.668524 140531649939328 learning.py:512] global step 114731: loss = 0.0413 (0.165 sec/step)
INFO:tensorflow:global step 114732: loss = 0.0091 (0.152 sec/step)
I0724 06:11:02.822329 140531649939328 learning.py:512] global step 114732: loss = 0.0091 (0.152 sec/step)
INFO:tensorflow:global step 114733: loss = 0.0511 (0.168 sec/step)
I0724 06:11:02.991828 140531649939328 learning.py:512] global step 114733: loss = 0.0511 (0.168 sec/step)
INFO:tensorflow:global step 114734: loss = 0.0439 (0.185 sec/step)
I0724 06:11:03.177772 140531649939328 learning.py:512] global step 114734: loss = 0.0439 (0.185 sec/step)
INFO:tensorflow:global step 114735: loss = 0.0282 (0.183 sec/step)
I0724 06:11:03.362386 140531649939328 learning.py:512] global step 114735: loss = 0.0282 (0.183 sec/step)
INFO:tensorflow:global step 114736: loss = 0.1325 (0.174 sec/step)
I0724 06:11:03.537760 140531649939328 learning.py:512] global step 114736: loss = 0.1325 (0.174 sec/step)
INFO:tensorflow:global step 114737: loss = 0.0145 (0.149 sec/step)
I0724 06:11:03.687725 140531649939328 learning.py:512] global step 114737: loss = 0.0145 (0.149 sec/step)
INFO:tensorflow:global step 114738: loss = 0.0791 (0.162 sec/step)
I0724 06:11:03.852470 140531649939328 learning.py:512] global step 114738: loss = 0.0791 (0.162 sec/step)
INFO:tensorflow:global step 114739: loss = 0.0221 (0.171 sec/step)
I0724 06:11:04.026048 140531649939328 learning.py:512] global step 114739: loss = 0.0221 (0.171 sec/step)
INFO:tensorflow:global step 114740: loss = 0.0101 (0.158 sec/step)
I0724 06:11:04.185653 140531649939328 learning.py:512] global step 114740: loss = 0.0101 (0.158 sec/step)
INFO:tensorflow:global step 114741: loss = 0.0714 (0.174 sec/step)
I0724 06:11:04.360707 140531649939328 learning.py:512] global step 114741: loss = 0.0714 (0.174 sec/step)
INFO:tensorflow:global step 114742: loss = 0.0172 (0.141 sec/step)
I0724 06:11:04.503481 140531649939328 learning.py:512] global step 114742: loss = 0.0172 (0.141 sec/step)
INFO:tensorflow:global step 114743: loss = 0.0655 (0.159 sec/step)
I0724 06:11:04.663611 140531649939328 learning.py:512] global step 114743: loss = 0.0655 (0.159 sec/step)
INFO:tensorflow:global step 114744: loss = 0.0672 (0.158 sec/step)
I0724 06:11:04.822767 140531649939328 learning.py:512] global step 114744: loss = 0.0672 (0.158 sec/step)
INFO:tensorflow:global step 114745: loss = 0.0044 (0.162 sec/step)
I0724 06:11:04.986567 140531649939328 learning.py:512] global step 114745: loss = 0.0044 (0.162 sec/step)
INFO:tensorflow:global step 114746: loss = 0.0109 (0.170 sec/step)
I0724 06:11:05.157992 140531649939328 learning.py:512] global step 114746: loss = 0.0109 (0.170 sec/step)
INFO:tensorflow:global step 114747: loss = 0.0068 (0.175 sec/step)
I0724 06:11:05.334816 140531649939328 learning.py:512] global step 114747: loss = 0.0068 (0.175 sec/step)
INFO:tensorflow:global step 114748: loss = 0.0022 (0.181 sec/step)
I0724 06:11:05.517640 140531649939328 learning.py:512] global step 114748: loss = 0.0022 (0.181 sec/step)
INFO:tensorflow:global step 114749: loss = 0.0147 (0.162 sec/step)
I0724 06:11:05.680598 140531649939328 learning.py:512] global step 114749: loss = 0.0147 (0.162 sec/step)
INFO:tensorflow:global step 114750: loss = 0.0118 (0.174 sec/step)
I0724 06:11:05.855779 140531649939328 learning.py:512] global step 114750: loss = 0.0118 (0.174 sec/step)
INFO:tensorflow:global step 114751: loss = 0.0082 (0.160 sec/step)
I0724 06:11:06.017007 140531649939328 learning.py:512] global step 114751: loss = 0.0082 (0.160 sec/step)
INFO:tensorflow:global step 114752: loss = 0.0247 (0.147 sec/step)
I0724 06:11:06.165893 140531649939328 learning.py:512] global step 114752: loss = 0.0247 (0.147 sec/step)
INFO:tensorflow:global step 114753: loss = 0.0189 (0.165 sec/step)
I0724 06:11:06.332219 140531649939328 learning.py:512] global step 114753: loss = 0.0189 (0.165 sec/step)
INFO:tensorflow:global step 114754: loss = 0.0281 (0.154 sec/step)
I0724 06:11:06.487830 140531649939328 learning.py:512] global step 114754: loss = 0.0281 (0.154 sec/step)
INFO:tensorflow:global step 114755: loss = 0.0594 (0.177 sec/step)
I0724 06:11:06.666014 140531649939328 learning.py:512] global step 114755: loss = 0.0594 (0.177 sec/step)
INFO:tensorflow:global step 114756: loss = 0.0307 (0.148 sec/step)
I0724 06:11:06.815512 140531649939328 learning.py:512] global step 114756: loss = 0.0307 (0.148 sec/step)
INFO:tensorflow:global step 114757: loss = 0.0112 (0.158 sec/step)
I0724 06:11:06.975074 140531649939328 learning.py:512] global step 114757: loss = 0.0112 (0.158 sec/step)
INFO:tensorflow:global step 114758: loss = 0.0087 (0.172 sec/step)
I0724 06:11:07.148252 140531649939328 learning.py:512] global step 114758: loss = 0.0087 (0.172 sec/step)
INFO:tensorflow:global step 114759: loss = 0.1033 (0.159 sec/step)
I0724 06:11:07.308514 140531649939328 learning.py:512] global step 114759: loss = 0.1033 (0.159 sec/step)
INFO:tensorflow:global step 114760: loss = 0.0384 (0.157 sec/step)
I0724 06:11:07.467507 140531649939328 learning.py:512] global step 114760: loss = 0.0384 (0.157 sec/step)
INFO:tensorflow:global step 114761: loss = 0.0120 (0.154 sec/step)
I0724 06:11:07.622697 140531649939328 learning.py:512] global step 114761: loss = 0.0120 (0.154 sec/step)
INFO:tensorflow:global step 114762: loss = 0.0444 (0.163 sec/step)
I0724 06:11:07.786702 140531649939328 learning.py:512] global step 114762: loss = 0.0444 (0.163 sec/step)
INFO:tensorflow:global step 114763: loss = 0.0443 (0.158 sec/step)
I0724 06:11:07.945739 140531649939328 learning.py:512] global step 114763: loss = 0.0443 (0.158 sec/step)
INFO:tensorflow:global step 114764: loss = 0.0173 (0.168 sec/step)
I0724 06:11:08.115238 140531649939328 learning.py:512] global step 114764: loss = 0.0173 (0.168 sec/step)
INFO:tensorflow:global step 114765: loss = 0.0371 (0.154 sec/step)
I0724 06:11:08.270229 140531649939328 learning.py:512] global step 114765: loss = 0.0371 (0.154 sec/step)
INFO:tensorflow:global step 114766: loss = 0.0220 (0.158 sec/step)
I0724 06:11:08.429587 140531649939328 learning.py:512] global step 114766: loss = 0.0220 (0.158 sec/step)
INFO:tensorflow:global step 114767: loss = 0.0264 (0.167 sec/step)
I0724 06:11:08.597764 140531649939328 learning.py:512] global step 114767: loss = 0.0264 (0.167 sec/step)
INFO:tensorflow:global step 114768: loss = 0.0042 (0.173 sec/step)
I0724 06:11:08.771731 140531649939328 learning.py:512] global step 114768: loss = 0.0042 (0.173 sec/step)
INFO:tensorflow:global step 114769: loss = 0.0195 (0.151 sec/step)
I0724 06:11:08.923779 140531649939328 learning.py:512] global step 114769: loss = 0.0195 (0.151 sec/step)
INFO:tensorflow:global step 114770: loss = 0.0147 (0.159 sec/step)
I0724 06:11:09.083901 140531649939328 learning.py:512] global step 114770: loss = 0.0147 (0.159 sec/step)
INFO:tensorflow:global step 114771: loss = 0.0052 (0.141 sec/step)
I0724 06:11:09.226435 140531649939328 learning.py:512] global step 114771: loss = 0.0052 (0.141 sec/step)
INFO:tensorflow:global step 114772: loss = 0.0074 (0.150 sec/step)
I0724 06:11:09.378169 140531649939328 learning.py:512] global step 114772: loss = 0.0074 (0.150 sec/step)
INFO:tensorflow:global step 114773: loss = 0.0579 (0.161 sec/step)
I0724 06:11:09.540591 140531649939328 learning.py:512] global step 114773: loss = 0.0579 (0.161 sec/step)
INFO:tensorflow:global step 114774: loss = 0.0358 (0.165 sec/step)
I0724 06:11:09.707165 140531649939328 learning.py:512] global step 114774: loss = 0.0358 (0.165 sec/step)
INFO:tensorflow:global step 114775: loss = 0.0050 (0.145 sec/step)
I0724 06:11:09.853766 140531649939328 learning.py:512] global step 114775: loss = 0.0050 (0.145 sec/step)
INFO:tensorflow:global step 114776: loss = 0.0288 (0.162 sec/step)
I0724 06:11:10.016865 140531649939328 learning.py:512] global step 114776: loss = 0.0288 (0.162 sec/step)
INFO:tensorflow:global step 114777: loss = 0.0182 (0.174 sec/step)
I0724 06:11:10.192234 140531649939328 learning.py:512] global step 114777: loss = 0.0182 (0.174 sec/step)
INFO:tensorflow:global step 114778: loss = 0.0347 (0.157 sec/step)
I0724 06:11:10.350426 140531649939328 learning.py:512] global step 114778: loss = 0.0347 (0.157 sec/step)
INFO:tensorflow:global step 114779: loss = 0.1106 (0.154 sec/step)
I0724 06:11:10.505552 140531649939328 learning.py:512] global step 114779: loss = 0.1106 (0.154 sec/step)
INFO:tensorflow:global step 114780: loss = 0.0234 (0.177 sec/step)
I0724 06:11:10.683573 140531649939328 learning.py:512] global step 114780: loss = 0.0234 (0.177 sec/step)
INFO:tensorflow:global step 114781: loss = 0.0384 (0.170 sec/step)
I0724 06:11:10.854641 140531649939328 learning.py:512] global step 114781: loss = 0.0384 (0.170 sec/step)
INFO:tensorflow:global step 114782: loss = 0.0225 (0.165 sec/step)
I0724 06:11:11.021006 140531649939328 learning.py:512] global step 114782: loss = 0.0225 (0.165 sec/step)
INFO:tensorflow:global step 114783: loss = 0.0778 (0.156 sec/step)
I0724 06:11:11.177974 140531649939328 learning.py:512] global step 114783: loss = 0.0778 (0.156 sec/step)
INFO:tensorflow:global step 114784: loss = 0.0077 (0.161 sec/step)
I0724 06:11:11.340394 140531649939328 learning.py:512] global step 114784: loss = 0.0077 (0.161 sec/step)
INFO:tensorflow:global step 114785: loss = 0.0054 (0.153 sec/step)
I0724 06:11:11.495067 140531649939328 learning.py:512] global step 114785: loss = 0.0054 (0.153 sec/step)
INFO:tensorflow:global step 114786: loss = 0.0506 (0.157 sec/step)
I0724 06:11:11.653253 140531649939328 learning.py:512] global step 114786: loss = 0.0506 (0.157 sec/step)
INFO:tensorflow:global step 114787: loss = 0.0804 (0.163 sec/step)
I0724 06:11:11.817281 140531649939328 learning.py:512] global step 114787: loss = 0.0804 (0.163 sec/step)
INFO:tensorflow:global step 114788: loss = 0.0454 (0.162 sec/step)
I0724 06:11:11.980627 140531649939328 learning.py:512] global step 114788: loss = 0.0454 (0.162 sec/step)
INFO:tensorflow:global step 114789: loss = 0.0238 (0.166 sec/step)
I0724 06:11:12.147972 140531649939328 learning.py:512] global step 114789: loss = 0.0238 (0.166 sec/step)
INFO:tensorflow:global step 114790: loss = 0.0136 (0.159 sec/step)
I0724 06:11:12.308622 140531649939328 learning.py:512] global step 114790: loss = 0.0136 (0.159 sec/step)
INFO:tensorflow:global step 114791: loss = 0.0121 (0.172 sec/step)
I0724 06:11:12.481599 140531649939328 learning.py:512] global step 114791: loss = 0.0121 (0.172 sec/step)
INFO:tensorflow:global step 114792: loss = 0.0120 (0.162 sec/step)
I0724 06:11:12.645550 140531649939328 learning.py:512] global step 114792: loss = 0.0120 (0.162 sec/step)
INFO:tensorflow:global step 114793: loss = 0.0180 (0.182 sec/step)
I0724 06:11:12.831700 140531649939328 learning.py:512] global step 114793: loss = 0.0180 (0.182 sec/step)
INFO:tensorflow:global step 114794: loss = 0.0033 (0.150 sec/step)
I0724 06:11:12.983095 140531649939328 learning.py:512] global step 114794: loss = 0.0033 (0.150 sec/step)
INFO:tensorflow:global step 114795: loss = 0.0105 (0.155 sec/step)
I0724 06:11:13.139219 140531649939328 learning.py:512] global step 114795: loss = 0.0105 (0.155 sec/step)
INFO:tensorflow:global step 114796: loss = 0.0612 (0.154 sec/step)
I0724 06:11:13.294599 140531649939328 learning.py:512] global step 114796: loss = 0.0612 (0.154 sec/step)
INFO:tensorflow:global step 114797: loss = 0.0605 (0.170 sec/step)
I0724 06:11:13.465694 140531649939328 learning.py:512] global step 114797: loss = 0.0605 (0.170 sec/step)
INFO:tensorflow:global step 114798: loss = 0.0204 (0.152 sec/step)
I0724 06:11:13.618820 140531649939328 learning.py:512] global step 114798: loss = 0.0204 (0.152 sec/step)
INFO:tensorflow:global step 114799: loss = 0.1667 (0.177 sec/step)
I0724 06:11:13.797495 140531649939328 learning.py:512] global step 114799: loss = 0.1667 (0.177 sec/step)
INFO:tensorflow:global step 114800: loss = 0.1240 (0.157 sec/step)
I0724 06:11:13.956345 140531649939328 learning.py:512] global step 114800: loss = 0.1240 (0.157 sec/step)
INFO:tensorflow:global step 114801: loss = 0.0633 (0.150 sec/step)
I0724 06:11:14.107811 140531649939328 learning.py:512] global step 114801: loss = 0.0633 (0.150 sec/step)
INFO:tensorflow:global step 114802: loss = 0.0562 (0.160 sec/step)
I0724 06:11:14.268874 140531649939328 learning.py:512] global step 114802: loss = 0.0562 (0.160 sec/step)
INFO:tensorflow:global step 114803: loss = 0.0689 (0.172 sec/step)
I0724 06:11:14.442530 140531649939328 learning.py:512] global step 114803: loss = 0.0689 (0.172 sec/step)
INFO:tensorflow:global step 114804: loss = 0.0518 (0.165 sec/step)
I0724 06:11:14.609101 140531649939328 learning.py:512] global step 114804: loss = 0.0518 (0.165 sec/step)
INFO:tensorflow:global step 114805: loss = 0.0794 (0.174 sec/step)
I0724 06:11:14.784721 140531649939328 learning.py:512] global step 114805: loss = 0.0794 (0.174 sec/step)
INFO:tensorflow:global step 114806: loss = 0.0738 (0.150 sec/step)
I0724 06:11:14.935667 140531649939328 learning.py:512] global step 114806: loss = 0.0738 (0.150 sec/step)
INFO:tensorflow:global step 114807: loss = 0.0199 (0.164 sec/step)
I0724 06:11:15.100582 140531649939328 learning.py:512] global step 114807: loss = 0.0199 (0.164 sec/step)
INFO:tensorflow:global step 114808: loss = 0.0109 (0.169 sec/step)
I0724 06:11:15.270915 140531649939328 learning.py:512] global step 114808: loss = 0.0109 (0.169 sec/step)
INFO:tensorflow:global step 114809: loss = 0.0305 (0.154 sec/step)
I0724 06:11:15.427226 140531649939328 learning.py:512] global step 114809: loss = 0.0305 (0.154 sec/step)
INFO:tensorflow:global step 114810: loss = 0.0136 (0.164 sec/step)
I0724 06:11:15.592667 140531649939328 learning.py:512] global step 114810: loss = 0.0136 (0.164 sec/step)
INFO:tensorflow:global step 114811: loss = 0.0541 (0.170 sec/step)
I0724 06:11:15.764325 140531649939328 learning.py:512] global step 114811: loss = 0.0541 (0.170 sec/step)
INFO:tensorflow:global step 114812: loss = 0.0146 (0.164 sec/step)
I0724 06:11:15.929457 140531649939328 learning.py:512] global step 114812: loss = 0.0146 (0.164 sec/step)
INFO:tensorflow:global step 114813: loss = 0.0201 (0.157 sec/step)
I0724 06:11:16.087581 140531649939328 learning.py:512] global step 114813: loss = 0.0201 (0.157 sec/step)
INFO:tensorflow:global step 114814: loss = 0.0496 (0.164 sec/step)
I0724 06:11:16.253077 140531649939328 learning.py:512] global step 114814: loss = 0.0496 (0.164 sec/step)
INFO:tensorflow:global step 114815: loss = 0.0158 (0.165 sec/step)
I0724 06:11:16.419255 140531649939328 learning.py:512] global step 114815: loss = 0.0158 (0.165 sec/step)
INFO:tensorflow:global step 114816: loss = 0.0068 (0.172 sec/step)
I0724 06:11:16.592238 140531649939328 learning.py:512] global step 114816: loss = 0.0068 (0.172 sec/step)
INFO:tensorflow:global step 114817: loss = 0.0301 (0.162 sec/step)
I0724 06:11:16.755190 140531649939328 learning.py:512] global step 114817: loss = 0.0301 (0.162 sec/step)
INFO:tensorflow:global step 114818: loss = 0.0035 (0.158 sec/step)
I0724 06:11:16.914488 140531649939328 learning.py:512] global step 114818: loss = 0.0035 (0.158 sec/step)
INFO:tensorflow:global step 114819: loss = 0.0069 (0.147 sec/step)
I0724 06:11:17.063100 140531649939328 learning.py:512] global step 114819: loss = 0.0069 (0.147 sec/step)
INFO:tensorflow:global step 114820: loss = 0.0072 (0.168 sec/step)
I0724 06:11:17.232592 140531649939328 learning.py:512] global step 114820: loss = 0.0072 (0.168 sec/step)
INFO:tensorflow:global step 114821: loss = 0.0104 (0.155 sec/step)
I0724 06:11:17.389195 140531649939328 learning.py:512] global step 114821: loss = 0.0104 (0.155 sec/step)
INFO:tensorflow:global step 114822: loss = 0.0380 (0.152 sec/step)
I0724 06:11:17.542663 140531649939328 learning.py:512] global step 114822: loss = 0.0380 (0.152 sec/step)
INFO:tensorflow:global step 114823: loss = 0.0283 (0.163 sec/step)
I0724 06:11:17.706670 140531649939328 learning.py:512] global step 114823: loss = 0.0283 (0.163 sec/step)
INFO:tensorflow:global step 114824: loss = 0.0182 (0.155 sec/step)
I0724 06:11:17.863324 140531649939328 learning.py:512] global step 114824: loss = 0.0182 (0.155 sec/step)
INFO:tensorflow:global step 114825: loss = 0.1671 (0.172 sec/step)
I0724 06:11:18.036629 140531649939328 learning.py:512] global step 114825: loss = 0.1671 (0.172 sec/step)
INFO:tensorflow:global step 114826: loss = 0.0152 (0.167 sec/step)
I0724 06:11:18.205438 140531649939328 learning.py:512] global step 114826: loss = 0.0152 (0.167 sec/step)
INFO:tensorflow:global step 114827: loss = 0.0119 (0.161 sec/step)
I0724 06:11:18.367792 140531649939328 learning.py:512] global step 114827: loss = 0.0119 (0.161 sec/step)
INFO:tensorflow:global step 114828: loss = 0.0249 (0.165 sec/step)
I0724 06:11:18.534396 140531649939328 learning.py:512] global step 114828: loss = 0.0249 (0.165 sec/step)
INFO:tensorflow:global step 114829: loss = 0.0368 (0.152 sec/step)
I0724 06:11:18.688021 140531649939328 learning.py:512] global step 114829: loss = 0.0368 (0.152 sec/step)
INFO:tensorflow:global step 114830: loss = 0.0427 (0.163 sec/step)
I0724 06:11:18.851960 140531649939328 learning.py:512] global step 114830: loss = 0.0427 (0.163 sec/step)
INFO:tensorflow:global step 114831: loss = 0.1043 (0.165 sec/step)
I0724 06:11:19.017875 140531649939328 learning.py:512] global step 114831: loss = 0.1043 (0.165 sec/step)
INFO:tensorflow:global step 114832: loss = 0.0149 (0.153 sec/step)
I0724 06:11:19.172486 140531649939328 learning.py:512] global step 114832: loss = 0.0149 (0.153 sec/step)
INFO:tensorflow:global step 114833: loss = 0.0255 (0.150 sec/step)
I0724 06:11:19.323704 140531649939328 learning.py:512] global step 114833: loss = 0.0255 (0.150 sec/step)
INFO:tensorflow:global step 114834: loss = 0.2814 (0.159 sec/step)
I0724 06:11:19.483752 140531649939328 learning.py:512] global step 114834: loss = 0.2814 (0.159 sec/step)
INFO:tensorflow:global step 114835: loss = 0.0481 (0.166 sec/step)
I0724 06:11:19.651559 140531649939328 learning.py:512] global step 114835: loss = 0.0481 (0.166 sec/step)
INFO:tensorflow:global step 114836: loss = 0.0459 (0.157 sec/step)
I0724 06:11:19.809427 140531649939328 learning.py:512] global step 114836: loss = 0.0459 (0.157 sec/step)
INFO:tensorflow:global step 114837: loss = 0.0139 (0.177 sec/step)
I0724 06:11:19.987911 140531649939328 learning.py:512] global step 114837: loss = 0.0139 (0.177 sec/step)
INFO:tensorflow:global step 114838: loss = 0.0167 (0.174 sec/step)
I0724 06:11:20.162765 140531649939328 learning.py:512] global step 114838: loss = 0.0167 (0.174 sec/step)
INFO:tensorflow:global step 114839: loss = 0.0585 (0.152 sec/step)
I0724 06:11:20.316255 140531649939328 learning.py:512] global step 114839: loss = 0.0585 (0.152 sec/step)
INFO:tensorflow:global step 114840: loss = 0.0084 (0.147 sec/step)
I0724 06:11:20.464726 140531649939328 learning.py:512] global step 114840: loss = 0.0084 (0.147 sec/step)
INFO:tensorflow:global step 114841: loss = 0.0216 (0.163 sec/step)
I0724 06:11:20.629663 140531649939328 learning.py:512] global step 114841: loss = 0.0216 (0.163 sec/step)
INFO:tensorflow:global step 114842: loss = 0.0099 (0.150 sec/step)
I0724 06:11:20.781410 140531649939328 learning.py:512] global step 114842: loss = 0.0099 (0.150 sec/step)
INFO:tensorflow:global step 114843: loss = 0.0299 (0.168 sec/step)
I0724 06:11:20.950470 140531649939328 learning.py:512] global step 114843: loss = 0.0299 (0.168 sec/step)
INFO:tensorflow:global step 114844: loss = 0.0785 (0.151 sec/step)
I0724 06:11:21.102494 140531649939328 learning.py:512] global step 114844: loss = 0.0785 (0.151 sec/step)
INFO:tensorflow:global step 114845: loss = 0.0170 (0.165 sec/step)
I0724 06:11:21.268494 140531649939328 learning.py:512] global step 114845: loss = 0.0170 (0.165 sec/step)
INFO:tensorflow:global step 114846: loss = 0.0146 (0.151 sec/step)
I0724 06:11:21.421107 140531649939328 learning.py:512] global step 114846: loss = 0.0146 (0.151 sec/step)
INFO:tensorflow:global step 114847: loss = 0.0208 (0.164 sec/step)
I0724 06:11:21.586882 140531649939328 learning.py:512] global step 114847: loss = 0.0208 (0.164 sec/step)
INFO:tensorflow:global step 114848: loss = 0.0125 (0.160 sec/step)
I0724 06:11:21.748107 140531649939328 learning.py:512] global step 114848: loss = 0.0125 (0.160 sec/step)
INFO:tensorflow:global step 114849: loss = 0.0950 (0.154 sec/step)
I0724 06:11:21.903591 140531649939328 learning.py:512] global step 114849: loss = 0.0950 (0.154 sec/step)
INFO:tensorflow:global step 114850: loss = 0.0770 (0.167 sec/step)
I0724 06:11:22.072309 140531649939328 learning.py:512] global step 114850: loss = 0.0770 (0.167 sec/step)
INFO:tensorflow:global step 114851: loss = 0.0235 (0.144 sec/step)
I0724 06:11:22.218191 140531649939328 learning.py:512] global step 114851: loss = 0.0235 (0.144 sec/step)
INFO:tensorflow:global step 114852: loss = 0.0282 (0.167 sec/step)
I0724 06:11:22.386453 140531649939328 learning.py:512] global step 114852: loss = 0.0282 (0.167 sec/step)
INFO:tensorflow:global step 114853: loss = 0.0194 (0.163 sec/step)
I0724 06:11:22.551155 140531649939328 learning.py:512] global step 114853: loss = 0.0194 (0.163 sec/step)
INFO:tensorflow:global step 114854: loss = 0.0031 (0.137 sec/step)
I0724 06:11:22.690058 140531649939328 learning.py:512] global step 114854: loss = 0.0031 (0.137 sec/step)
INFO:tensorflow:global step 114855: loss = 0.1636 (0.159 sec/step)
I0724 06:11:22.850541 140531649939328 learning.py:512] global step 114855: loss = 0.1636 (0.159 sec/step)
INFO:tensorflow:global step 114856: loss = 0.0452 (0.176 sec/step)
I0724 06:11:23.027959 140531649939328 learning.py:512] global step 114856: loss = 0.0452 (0.176 sec/step)
INFO:tensorflow:global step 114857: loss = 0.0291 (0.181 sec/step)
I0724 06:11:23.210722 140531649939328 learning.py:512] global step 114857: loss = 0.0291 (0.181 sec/step)
INFO:tensorflow:global step 114858: loss = 0.0074 (0.182 sec/step)
I0724 06:11:23.394147 140531649939328 learning.py:512] global step 114858: loss = 0.0074 (0.182 sec/step)
INFO:tensorflow:global step 114859: loss = 0.0078 (0.224 sec/step)
I0724 06:11:23.619711 140531649939328 learning.py:512] global step 114859: loss = 0.0078 (0.224 sec/step)
INFO:tensorflow:global step 114860: loss = 0.0201 (0.168 sec/step)
I0724 06:11:23.789307 140531649939328 learning.py:512] global step 114860: loss = 0.0201 (0.168 sec/step)
INFO:tensorflow:global step 114861: loss = 0.0092 (0.153 sec/step)
I0724 06:11:23.943785 140531649939328 learning.py:512] global step 114861: loss = 0.0092 (0.153 sec/step)
INFO:tensorflow:global step 114862: loss = 0.0186 (0.153 sec/step)
I0724 06:11:24.097877 140531649939328 learning.py:512] global step 114862: loss = 0.0186 (0.153 sec/step)
INFO:tensorflow:global step 114863: loss = 0.0597 (0.158 sec/step)
I0724 06:11:24.257288 140531649939328 learning.py:512] global step 114863: loss = 0.0597 (0.158 sec/step)
INFO:tensorflow:global step 114864: loss = 0.0285 (0.143 sec/step)
I0724 06:11:24.402174 140531649939328 learning.py:512] global step 114864: loss = 0.0285 (0.143 sec/step)
INFO:tensorflow:global step 114865: loss = 0.0389 (0.152 sec/step)
I0724 06:11:24.555476 140531649939328 learning.py:512] global step 114865: loss = 0.0389 (0.152 sec/step)
INFO:tensorflow:global step 114866: loss = 0.0398 (0.158 sec/step)
I0724 06:11:24.717886 140531649939328 learning.py:512] global step 114866: loss = 0.0398 (0.158 sec/step)
INFO:tensorflow:global step 114867: loss = 0.0663 (0.145 sec/step)
I0724 06:11:24.864206 140531649939328 learning.py:512] global step 114867: loss = 0.0663 (0.145 sec/step)
INFO:tensorflow:global step 114868: loss = 0.0080 (0.163 sec/step)
I0724 06:11:25.029082 140531649939328 learning.py:512] global step 114868: loss = 0.0080 (0.163 sec/step)
INFO:tensorflow:global step 114869: loss = 0.0974 (0.177 sec/step)
I0724 06:11:25.207377 140531649939328 learning.py:512] global step 114869: loss = 0.0974 (0.177 sec/step)
INFO:tensorflow:global step 114870: loss = 0.1062 (0.172 sec/step)
I0724 06:11:25.380438 140531649939328 learning.py:512] global step 114870: loss = 0.1062 (0.172 sec/step)
INFO:tensorflow:global step 114871: loss = 0.0153 (0.174 sec/step)
I0724 06:11:25.555683 140531649939328 learning.py:512] global step 114871: loss = 0.0153 (0.174 sec/step)
INFO:tensorflow:global step 114872: loss = 0.0447 (0.154 sec/step)
I0724 06:11:25.711163 140531649939328 learning.py:512] global step 114872: loss = 0.0447 (0.154 sec/step)
INFO:tensorflow:global step 114873: loss = 0.0108 (0.160 sec/step)
I0724 06:11:25.872705 140531649939328 learning.py:512] global step 114873: loss = 0.0108 (0.160 sec/step)
INFO:tensorflow:global step 114874: loss = 0.0358 (0.179 sec/step)
I0724 06:11:26.052635 140531649939328 learning.py:512] global step 114874: loss = 0.0358 (0.179 sec/step)
INFO:tensorflow:global step 114875: loss = 0.0246 (0.175 sec/step)
I0724 06:11:26.228755 140531649939328 learning.py:512] global step 114875: loss = 0.0246 (0.175 sec/step)
INFO:tensorflow:global step 114876: loss = 0.0074 (0.166 sec/step)
I0724 06:11:26.395957 140531649939328 learning.py:512] global step 114876: loss = 0.0074 (0.166 sec/step)
INFO:tensorflow:global step 114877: loss = 0.0121 (0.206 sec/step)
I0724 06:11:26.602908 140531649939328 learning.py:512] global step 114877: loss = 0.0121 (0.206 sec/step)
INFO:tensorflow:global step 114878: loss = 0.0629 (0.161 sec/step)
I0724 06:11:26.765202 140531649939328 learning.py:512] global step 114878: loss = 0.0629 (0.161 sec/step)
INFO:tensorflow:global step 114879: loss = 0.0716 (0.148 sec/step)
I0724 06:11:26.915053 140531649939328 learning.py:512] global step 114879: loss = 0.0716 (0.148 sec/step)
INFO:tensorflow:global step 114880: loss = 0.0215 (0.153 sec/step)
I0724 06:11:27.069214 140531649939328 learning.py:512] global step 114880: loss = 0.0215 (0.153 sec/step)
INFO:tensorflow:global step 114881: loss = 0.0321 (0.156 sec/step)
I0724 06:11:27.226344 140531649939328 learning.py:512] global step 114881: loss = 0.0321 (0.156 sec/step)
INFO:tensorflow:global step 114882: loss = 0.0147 (0.204 sec/step)
I0724 06:11:27.431261 140531649939328 learning.py:512] global step 114882: loss = 0.0147 (0.204 sec/step)
INFO:tensorflow:global step 114883: loss = 0.0710 (0.176 sec/step)
I0724 06:11:27.608612 140531649939328 learning.py:512] global step 114883: loss = 0.0710 (0.176 sec/step)
INFO:tensorflow:global step 114884: loss = 0.0223 (0.160 sec/step)
I0724 06:11:27.770490 140531649939328 learning.py:512] global step 114884: loss = 0.0223 (0.160 sec/step)
INFO:tensorflow:global step 114885: loss = 0.0079 (0.133 sec/step)
I0724 06:11:27.904670 140531649939328 learning.py:512] global step 114885: loss = 0.0079 (0.133 sec/step)
INFO:tensorflow:global step 114886: loss = 0.0272 (0.159 sec/step)
I0724 06:11:28.064476 140531649939328 learning.py:512] global step 114886: loss = 0.0272 (0.159 sec/step)
INFO:tensorflow:global step 114887: loss = 0.0045 (0.174 sec/step)
I0724 06:11:28.240176 140531649939328 learning.py:512] global step 114887: loss = 0.0045 (0.174 sec/step)
INFO:tensorflow:global step 114888: loss = 0.0102 (0.161 sec/step)
I0724 06:11:28.402883 140531649939328 learning.py:512] global step 114888: loss = 0.0102 (0.161 sec/step)
INFO:tensorflow:global step 114889: loss = 0.1002 (0.183 sec/step)
I0724 06:11:28.587703 140531649939328 learning.py:512] global step 114889: loss = 0.1002 (0.183 sec/step)
INFO:tensorflow:global step 114890: loss = 0.0328 (0.154 sec/step)
I0724 06:11:28.743105 140531649939328 learning.py:512] global step 114890: loss = 0.0328 (0.154 sec/step)
INFO:tensorflow:global step 114891: loss = 0.0065 (0.160 sec/step)
I0724 06:11:28.904042 140531649939328 learning.py:512] global step 114891: loss = 0.0065 (0.160 sec/step)
INFO:tensorflow:global step 114892: loss = 0.0194 (0.160 sec/step)
I0724 06:11:29.066043 140531649939328 learning.py:512] global step 114892: loss = 0.0194 (0.160 sec/step)
INFO:tensorflow:global step 114893: loss = 0.0105 (0.171 sec/step)
I0724 06:11:29.238053 140531649939328 learning.py:512] global step 114893: loss = 0.0105 (0.171 sec/step)
INFO:tensorflow:global step 114894: loss = 0.0156 (0.153 sec/step)
I0724 06:11:29.392599 140531649939328 learning.py:512] global step 114894: loss = 0.0156 (0.153 sec/step)
INFO:tensorflow:global step 114895: loss = 0.0543 (0.139 sec/step)
I0724 06:11:29.532756 140531649939328 learning.py:512] global step 114895: loss = 0.0543 (0.139 sec/step)
INFO:tensorflow:global step 114896: loss = 0.0338 (0.167 sec/step)
I0724 06:11:29.701578 140531649939328 learning.py:512] global step 114896: loss = 0.0338 (0.167 sec/step)
INFO:tensorflow:global step 114897: loss = 0.0299 (0.158 sec/step)
I0724 06:11:29.860560 140531649939328 learning.py:512] global step 114897: loss = 0.0299 (0.158 sec/step)
INFO:tensorflow:global step 114898: loss = 0.0098 (0.164 sec/step)
I0724 06:11:30.026335 140531649939328 learning.py:512] global step 114898: loss = 0.0098 (0.164 sec/step)
INFO:tensorflow:global step 114899: loss = 0.0304 (0.164 sec/step)
I0724 06:11:30.191951 140531649939328 learning.py:512] global step 114899: loss = 0.0304 (0.164 sec/step)
INFO:tensorflow:global step 114900: loss = 0.0274 (0.155 sec/step)
I0724 06:11:30.348083 140531649939328 learning.py:512] global step 114900: loss = 0.0274 (0.155 sec/step)
INFO:tensorflow:global step 114901: loss = 0.0108 (0.159 sec/step)
I0724 06:11:30.508712 140531649939328 learning.py:512] global step 114901: loss = 0.0108 (0.159 sec/step)
INFO:tensorflow:global step 114902: loss = 0.0396 (0.145 sec/step)
I0724 06:11:30.655771 140531649939328 learning.py:512] global step 114902: loss = 0.0396 (0.145 sec/step)
INFO:tensorflow:global step 114903: loss = 0.0414 (0.157 sec/step)
I0724 06:11:30.814212 140531649939328 learning.py:512] global step 114903: loss = 0.0414 (0.157 sec/step)
INFO:tensorflow:global step 114904: loss = 0.0059 (0.154 sec/step)
I0724 06:11:30.969616 140531649939328 learning.py:512] global step 114904: loss = 0.0059 (0.154 sec/step)
INFO:tensorflow:global step 114905: loss = 0.0361 (0.161 sec/step)
I0724 06:11:31.131545 140531649939328 learning.py:512] global step 114905: loss = 0.0361 (0.161 sec/step)
INFO:tensorflow:global step 114906: loss = 0.0213 (0.167 sec/step)
I0724 06:11:31.299617 140531649939328 learning.py:512] global step 114906: loss = 0.0213 (0.167 sec/step)
INFO:tensorflow:global step 114907: loss = 0.0143 (0.157 sec/step)
I0724 06:11:31.457675 140531649939328 learning.py:512] global step 114907: loss = 0.0143 (0.157 sec/step)
INFO:tensorflow:global step 114908: loss = 0.0062 (0.152 sec/step)
I0724 06:11:31.610639 140531649939328 learning.py:512] global step 114908: loss = 0.0062 (0.152 sec/step)
INFO:tensorflow:global step 114909: loss = 0.0355 (0.160 sec/step)
I0724 06:11:31.772468 140531649939328 learning.py:512] global step 114909: loss = 0.0355 (0.160 sec/step)
INFO:tensorflow:global step 114910: loss = 0.0126 (0.175 sec/step)
I0724 06:11:31.948996 140531649939328 learning.py:512] global step 114910: loss = 0.0126 (0.175 sec/step)
INFO:tensorflow:global step 114911: loss = 0.0133 (0.220 sec/step)
I0724 06:11:32.170928 140531649939328 learning.py:512] global step 114911: loss = 0.0133 (0.220 sec/step)
INFO:tensorflow:global step 114912: loss = 0.0114 (0.271 sec/step)
I0724 06:11:32.444107 140531649939328 learning.py:512] global step 114912: loss = 0.0114 (0.271 sec/step)
INFO:tensorflow:global step 114913: loss = 0.0019 (0.247 sec/step)
I0724 06:11:32.692758 140531649939328 learning.py:512] global step 114913: loss = 0.0019 (0.247 sec/step)
INFO:tensorflow:global step 114914: loss = 0.0273 (0.148 sec/step)
I0724 06:11:32.843023 140531649939328 learning.py:512] global step 114914: loss = 0.0273 (0.148 sec/step)
INFO:tensorflow:global step 114915: loss = 0.0428 (0.152 sec/step)
I0724 06:11:32.996642 140531649939328 learning.py:512] global step 114915: loss = 0.0428 (0.152 sec/step)
INFO:tensorflow:global step 114916: loss = 0.0379 (0.161 sec/step)
I0724 06:11:33.158806 140531649939328 learning.py:512] global step 114916: loss = 0.0379 (0.161 sec/step)
INFO:tensorflow:global step 114917: loss = 0.0190 (0.170 sec/step)
I0724 06:11:33.329982 140531649939328 learning.py:512] global step 114917: loss = 0.0190 (0.170 sec/step)
INFO:tensorflow:global step 114918: loss = 0.0770 (0.159 sec/step)
I0724 06:11:33.489953 140531649939328 learning.py:512] global step 114918: loss = 0.0770 (0.159 sec/step)
INFO:tensorflow:global step 114919: loss = 0.0815 (0.151 sec/step)
I0724 06:11:33.642631 140531649939328 learning.py:512] global step 114919: loss = 0.0815 (0.151 sec/step)
INFO:tensorflow:global step 114920: loss = 0.0495 (0.167 sec/step)
I0724 06:11:33.811945 140531649939328 learning.py:512] global step 114920: loss = 0.0495 (0.167 sec/step)
INFO:tensorflow:global step 114921: loss = 0.0428 (0.166 sec/step)
I0724 06:11:33.981822 140531649939328 learning.py:512] global step 114921: loss = 0.0428 (0.166 sec/step)
INFO:tensorflow:global step 114922: loss = 0.0132 (0.163 sec/step)
I0724 06:11:34.146260 140531649939328 learning.py:512] global step 114922: loss = 0.0132 (0.163 sec/step)
INFO:tensorflow:global step 114923: loss = 0.0166 (0.179 sec/step)
I0724 06:11:34.326455 140531649939328 learning.py:512] global step 114923: loss = 0.0166 (0.179 sec/step)
INFO:tensorflow:global step 114924: loss = 0.0248 (0.155 sec/step)
I0724 06:11:34.482499 140531649939328 learning.py:512] global step 114924: loss = 0.0248 (0.155 sec/step)
INFO:tensorflow:global step 114925: loss = 0.0386 (0.159 sec/step)
I0724 06:11:34.642678 140531649939328 learning.py:512] global step 114925: loss = 0.0386 (0.159 sec/step)
INFO:tensorflow:global step 114926: loss = 0.0105 (0.164 sec/step)
I0724 06:11:34.807908 140531649939328 learning.py:512] global step 114926: loss = 0.0105 (0.164 sec/step)
INFO:tensorflow:global step 114927: loss = 0.0123 (0.170 sec/step)
I0724 06:11:34.979180 140531649939328 learning.py:512] global step 114927: loss = 0.0123 (0.170 sec/step)
INFO:tensorflow:global step 114928: loss = 0.0157 (0.182 sec/step)
I0724 06:11:35.162298 140531649939328 learning.py:512] global step 114928: loss = 0.0157 (0.182 sec/step)
INFO:tensorflow:global step 114929: loss = 0.0126 (0.144 sec/step)
I0724 06:11:35.307127 140531649939328 learning.py:512] global step 114929: loss = 0.0126 (0.144 sec/step)
INFO:tensorflow:global step 114930: loss = 0.0256 (0.150 sec/step)
I0724 06:11:35.459263 140531649939328 learning.py:512] global step 114930: loss = 0.0256 (0.150 sec/step)
INFO:tensorflow:global step 114931: loss = 0.0267 (0.172 sec/step)
I0724 06:11:35.632798 140531649939328 learning.py:512] global step 114931: loss = 0.0267 (0.172 sec/step)
INFO:tensorflow:global step 114932: loss = 0.0078 (0.174 sec/step)
I0724 06:11:35.808001 140531649939328 learning.py:512] global step 114932: loss = 0.0078 (0.174 sec/step)
INFO:tensorflow:global step 114933: loss = 0.0359 (0.169 sec/step)
I0724 06:11:35.978332 140531649939328 learning.py:512] global step 114933: loss = 0.0359 (0.169 sec/step)
INFO:tensorflow:global step 114934: loss = 0.0357 (0.161 sec/step)
I0724 06:11:36.140271 140531649939328 learning.py:512] global step 114934: loss = 0.0357 (0.161 sec/step)
INFO:tensorflow:global step 114935: loss = 0.0122 (0.164 sec/step)
I0724 06:11:36.307397 140531649939328 learning.py:512] global step 114935: loss = 0.0122 (0.164 sec/step)
INFO:tensorflow:global step 114936: loss = 0.0448 (0.168 sec/step)
I0724 06:11:36.477102 140531649939328 learning.py:512] global step 114936: loss = 0.0448 (0.168 sec/step)
INFO:tensorflow:global step 114937: loss = 0.0392 (0.153 sec/step)
I0724 06:11:36.631537 140531649939328 learning.py:512] global step 114937: loss = 0.0392 (0.153 sec/step)
INFO:tensorflow:global step 114938: loss = 0.0228 (0.161 sec/step)
I0724 06:11:36.793634 140531649939328 learning.py:512] global step 114938: loss = 0.0228 (0.161 sec/step)
INFO:tensorflow:global step 114939: loss = 0.0587 (0.160 sec/step)
I0724 06:11:36.954764 140531649939328 learning.py:512] global step 114939: loss = 0.0587 (0.160 sec/step)
INFO:tensorflow:global step 114940: loss = 0.0255 (0.160 sec/step)
I0724 06:11:37.115917 140531649939328 learning.py:512] global step 114940: loss = 0.0255 (0.160 sec/step)
INFO:tensorflow:global step 114941: loss = 0.0294 (0.155 sec/step)
I0724 06:11:37.271902 140531649939328 learning.py:512] global step 114941: loss = 0.0294 (0.155 sec/step)
INFO:tensorflow:global step 114942: loss = 0.0144 (0.179 sec/step)
I0724 06:11:37.452466 140531649939328 learning.py:512] global step 114942: loss = 0.0144 (0.179 sec/step)
INFO:tensorflow:global step 114943: loss = 0.0545 (0.152 sec/step)
I0724 06:11:37.606107 140531649939328 learning.py:512] global step 114943: loss = 0.0545 (0.152 sec/step)
INFO:tensorflow:global step 114944: loss = 0.0658 (0.175 sec/step)
I0724 06:11:37.782089 140531649939328 learning.py:512] global step 114944: loss = 0.0658 (0.175 sec/step)
INFO:tensorflow:global step 114945: loss = 0.0254 (0.161 sec/step)
I0724 06:11:37.944695 140531649939328 learning.py:512] global step 114945: loss = 0.0254 (0.161 sec/step)
INFO:tensorflow:global step 114946: loss = 0.0189 (0.164 sec/step)
I0724 06:11:38.110256 140531649939328 learning.py:512] global step 114946: loss = 0.0189 (0.164 sec/step)
INFO:tensorflow:global step 114947: loss = 0.0157 (0.148 sec/step)
I0724 06:11:38.259139 140531649939328 learning.py:512] global step 114947: loss = 0.0157 (0.148 sec/step)
INFO:tensorflow:global step 114948: loss = 0.0876 (0.171 sec/step)
I0724 06:11:38.431641 140531649939328 learning.py:512] global step 114948: loss = 0.0876 (0.171 sec/step)
INFO:tensorflow:global step 114949: loss = 0.0081 (0.161 sec/step)
I0724 06:11:38.593650 140531649939328 learning.py:512] global step 114949: loss = 0.0081 (0.161 sec/step)
INFO:tensorflow:global step 114950: loss = 0.0187 (0.172 sec/step)
I0724 06:11:38.768104 140531649939328 learning.py:512] global step 114950: loss = 0.0187 (0.172 sec/step)
INFO:tensorflow:global step 114951: loss = 0.0108 (0.162 sec/step)
I0724 06:11:38.931136 140531649939328 learning.py:512] global step 114951: loss = 0.0108 (0.162 sec/step)
INFO:tensorflow:global step 114952: loss = 0.0108 (0.159 sec/step)
I0724 06:11:39.091183 140531649939328 learning.py:512] global step 114952: loss = 0.0108 (0.159 sec/step)
INFO:tensorflow:global step 114953: loss = 0.0417 (0.167 sec/step)
I0724 06:11:39.259036 140531649939328 learning.py:512] global step 114953: loss = 0.0417 (0.167 sec/step)
INFO:tensorflow:global step 114954: loss = 0.0309 (0.159 sec/step)
I0724 06:11:39.419180 140531649939328 learning.py:512] global step 114954: loss = 0.0309 (0.159 sec/step)
INFO:tensorflow:global step 114955: loss = 0.0058 (0.163 sec/step)
I0724 06:11:39.583479 140531649939328 learning.py:512] global step 114955: loss = 0.0058 (0.163 sec/step)
INFO:tensorflow:global step 114956: loss = 0.0970 (0.165 sec/step)
I0724 06:11:39.749765 140531649939328 learning.py:512] global step 114956: loss = 0.0970 (0.165 sec/step)
INFO:tensorflow:global step 114957: loss = 0.0063 (0.169 sec/step)
I0724 06:11:39.919905 140531649939328 learning.py:512] global step 114957: loss = 0.0063 (0.169 sec/step)
INFO:tensorflow:global step 114958: loss = 0.0277 (0.165 sec/step)
I0724 06:11:40.086170 140531649939328 learning.py:512] global step 114958: loss = 0.0277 (0.165 sec/step)
INFO:tensorflow:global step 114959: loss = 0.0075 (0.172 sec/step)
I0724 06:11:40.259317 140531649939328 learning.py:512] global step 114959: loss = 0.0075 (0.172 sec/step)
INFO:tensorflow:global step 114960: loss = 0.0098 (0.148 sec/step)
I0724 06:11:40.408797 140531649939328 learning.py:512] global step 114960: loss = 0.0098 (0.148 sec/step)
INFO:tensorflow:global step 114961: loss = 0.0048 (0.168 sec/step)
I0724 06:11:40.577974 140531649939328 learning.py:512] global step 114961: loss = 0.0048 (0.168 sec/step)
INFO:tensorflow:global step 114962: loss = 0.0528 (0.162 sec/step)
I0724 06:11:40.741625 140531649939328 learning.py:512] global step 114962: loss = 0.0528 (0.162 sec/step)
INFO:tensorflow:global step 114963: loss = 0.0309 (0.162 sec/step)
I0724 06:11:40.904919 140531649939328 learning.py:512] global step 114963: loss = 0.0309 (0.162 sec/step)
INFO:tensorflow:global step 114964: loss = 0.0145 (0.144 sec/step)
I0724 06:11:41.050387 140531649939328 learning.py:512] global step 114964: loss = 0.0145 (0.144 sec/step)
INFO:tensorflow:global step 114965: loss = 0.0014 (0.163 sec/step)
I0724 06:11:41.214512 140531649939328 learning.py:512] global step 114965: loss = 0.0014 (0.163 sec/step)
INFO:tensorflow:global step 114966: loss = 0.0155 (0.156 sec/step)
I0724 06:11:41.371693 140531649939328 learning.py:512] global step 114966: loss = 0.0155 (0.156 sec/step)
INFO:tensorflow:global step 114967: loss = 0.0097 (0.172 sec/step)
I0724 06:11:41.545126 140531649939328 learning.py:512] global step 114967: loss = 0.0097 (0.172 sec/step)
INFO:tensorflow:global step 114968: loss = 0.0484 (0.149 sec/step)
I0724 06:11:41.695306 140531649939328 learning.py:512] global step 114968: loss = 0.0484 (0.149 sec/step)
INFO:tensorflow:global step 114969: loss = 0.1386 (0.181 sec/step)
I0724 06:11:41.877952 140531649939328 learning.py:512] global step 114969: loss = 0.1386 (0.181 sec/step)
INFO:tensorflow:global step 114970: loss = 0.0161 (0.153 sec/step)
I0724 06:11:42.032549 140531649939328 learning.py:512] global step 114970: loss = 0.0161 (0.153 sec/step)
INFO:tensorflow:global step 114971: loss = 0.1278 (0.158 sec/step)
I0724 06:11:42.192051 140531649939328 learning.py:512] global step 114971: loss = 0.1278 (0.158 sec/step)
INFO:tensorflow:global step 114972: loss = 0.0122 (0.153 sec/step)
I0724 06:11:42.346154 140531649939328 learning.py:512] global step 114972: loss = 0.0122 (0.153 sec/step)
INFO:tensorflow:global step 114973: loss = 0.0247 (0.170 sec/step)
I0724 06:11:42.517209 140531649939328 learning.py:512] global step 114973: loss = 0.0247 (0.170 sec/step)
INFO:tensorflow:global step 114974: loss = 0.0290 (0.144 sec/step)
I0724 06:11:42.662481 140531649939328 learning.py:512] global step 114974: loss = 0.0290 (0.144 sec/step)
INFO:tensorflow:global step 114975: loss = 0.0625 (0.161 sec/step)
I0724 06:11:42.825322 140531649939328 learning.py:512] global step 114975: loss = 0.0625 (0.161 sec/step)
INFO:tensorflow:global step 114976: loss = 0.0115 (0.168 sec/step)
I0724 06:11:42.994997 140531649939328 learning.py:512] global step 114976: loss = 0.0115 (0.168 sec/step)
INFO:tensorflow:global step 114977: loss = 0.0209 (0.151 sec/step)
I0724 06:11:43.147099 140531649939328 learning.py:512] global step 114977: loss = 0.0209 (0.151 sec/step)
INFO:tensorflow:global step 114978: loss = 0.0683 (0.170 sec/step)
I0724 06:11:43.318077 140531649939328 learning.py:512] global step 114978: loss = 0.0683 (0.170 sec/step)
INFO:tensorflow:global step 114979: loss = 0.0310 (0.153 sec/step)
I0724 06:11:43.472088 140531649939328 learning.py:512] global step 114979: loss = 0.0310 (0.153 sec/step)
INFO:tensorflow:global step 114980: loss = 0.0323 (0.175 sec/step)
I0724 06:11:43.648079 140531649939328 learning.py:512] global step 114980: loss = 0.0323 (0.175 sec/step)
INFO:tensorflow:global step 114981: loss = 0.0290 (0.147 sec/step)
I0724 06:11:43.796476 140531649939328 learning.py:512] global step 114981: loss = 0.0290 (0.147 sec/step)
INFO:tensorflow:global step 114982: loss = 0.0483 (0.167 sec/step)
I0724 06:11:43.965656 140531649939328 learning.py:512] global step 114982: loss = 0.0483 (0.167 sec/step)
INFO:tensorflow:global step 114983: loss = 0.0082 (0.166 sec/step)
I0724 06:11:44.133357 140531649939328 learning.py:512] global step 114983: loss = 0.0082 (0.166 sec/step)
INFO:tensorflow:global step 114984: loss = 0.0214 (0.161 sec/step)
I0724 06:11:44.296043 140531649939328 learning.py:512] global step 114984: loss = 0.0214 (0.161 sec/step)
INFO:tensorflow:global step 114985: loss = 0.2174 (0.146 sec/step)
I0724 06:11:44.442916 140531649939328 learning.py:512] global step 114985: loss = 0.2174 (0.146 sec/step)
INFO:tensorflow:global step 114986: loss = 0.0255 (0.172 sec/step)
I0724 06:11:44.616616 140531649939328 learning.py:512] global step 114986: loss = 0.0255 (0.172 sec/step)
INFO:tensorflow:global step 114987: loss = 0.0258 (0.167 sec/step)
I0724 06:11:44.784865 140531649939328 learning.py:512] global step 114987: loss = 0.0258 (0.167 sec/step)
INFO:tensorflow:global step 114988: loss = 0.0181 (0.161 sec/step)
I0724 06:11:44.947644 140531649939328 learning.py:512] global step 114988: loss = 0.0181 (0.161 sec/step)
INFO:tensorflow:global step 114989: loss = 0.0394 (0.154 sec/step)
I0724 06:11:45.103357 140531649939328 learning.py:512] global step 114989: loss = 0.0394 (0.154 sec/step)
INFO:tensorflow:global step 114990: loss = 0.0127 (0.164 sec/step)
I0724 06:11:45.268496 140531649939328 learning.py:512] global step 114990: loss = 0.0127 (0.164 sec/step)
INFO:tensorflow:global step 114991: loss = 0.0321 (0.149 sec/step)
I0724 06:11:45.418488 140531649939328 learning.py:512] global step 114991: loss = 0.0321 (0.149 sec/step)
INFO:tensorflow:global step 114992: loss = 0.0230 (0.180 sec/step)
I0724 06:11:45.599923 140531649939328 learning.py:512] global step 114992: loss = 0.0230 (0.180 sec/step)
INFO:tensorflow:global step 114993: loss = 0.0333 (0.162 sec/step)
I0724 06:11:45.763349 140531649939328 learning.py:512] global step 114993: loss = 0.0333 (0.162 sec/step)
INFO:tensorflow:global step 114994: loss = 0.0322 (0.162 sec/step)
I0724 06:11:45.926820 140531649939328 learning.py:512] global step 114994: loss = 0.0322 (0.162 sec/step)
INFO:tensorflow:global step 114995: loss = 0.0225 (0.153 sec/step)
I0724 06:11:46.080997 140531649939328 learning.py:512] global step 114995: loss = 0.0225 (0.153 sec/step)
INFO:tensorflow:global step 114996: loss = 0.0279 (0.175 sec/step)
I0724 06:11:46.257683 140531649939328 learning.py:512] global step 114996: loss = 0.0279 (0.175 sec/step)
INFO:tensorflow:global step 114997: loss = 0.1153 (0.151 sec/step)
I0724 06:11:46.409762 140531649939328 learning.py:512] global step 114997: loss = 0.1153 (0.151 sec/step)
INFO:tensorflow:global step 114998: loss = 0.0291 (0.146 sec/step)
I0724 06:11:46.557020 140531649939328 learning.py:512] global step 114998: loss = 0.0291 (0.146 sec/step)
INFO:tensorflow:global step 114999: loss = 0.0266 (0.154 sec/step)
I0724 06:11:46.712127 140531649939328 learning.py:512] global step 114999: loss = 0.0266 (0.154 sec/step)
INFO:tensorflow:global step 115000: loss = 0.0179 (0.158 sec/step)
I0724 06:11:46.872023 140531649939328 learning.py:512] global step 115000: loss = 0.0179 (0.158 sec/step)
INFO:tensorflow:global step 115001: loss = 0.0055 (0.169 sec/step)
I0724 06:11:47.042487 140531649939328 learning.py:512] global step 115001: loss = 0.0055 (0.169 sec/step)
INFO:tensorflow:global step 115002: loss = 0.0204 (0.175 sec/step)
I0724 06:11:47.219259 140531649939328 learning.py:512] global step 115002: loss = 0.0204 (0.175 sec/step)
INFO:tensorflow:global step 115003: loss = 0.0189 (0.166 sec/step)
I0724 06:11:47.386464 140531649939328 learning.py:512] global step 115003: loss = 0.0189 (0.166 sec/step)
INFO:tensorflow:global step 115004: loss = 0.1479 (0.159 sec/step)
I0724 06:11:47.546728 140531649939328 learning.py:512] global step 115004: loss = 0.1479 (0.159 sec/step)
INFO:tensorflow:global step 115005: loss = 0.0167 (0.170 sec/step)
I0724 06:11:47.717868 140531649939328 learning.py:512] global step 115005: loss = 0.0167 (0.170 sec/step)
INFO:tensorflow:global step 115006: loss = 0.0688 (0.161 sec/step)
I0724 06:11:47.880145 140531649939328 learning.py:512] global step 115006: loss = 0.0688 (0.161 sec/step)
INFO:tensorflow:global step 115007: loss = 0.0436 (0.163 sec/step)
I0724 06:11:48.044144 140531649939328 learning.py:512] global step 115007: loss = 0.0436 (0.163 sec/step)
INFO:tensorflow:global step 115008: loss = 0.0046 (0.167 sec/step)
I0724 06:11:48.212700 140531649939328 learning.py:512] global step 115008: loss = 0.0046 (0.167 sec/step)
INFO:tensorflow:global step 115009: loss = 0.0378 (0.151 sec/step)
I0724 06:11:48.365024 140531649939328 learning.py:512] global step 115009: loss = 0.0378 (0.151 sec/step)
INFO:tensorflow:global step 115010: loss = 0.0365 (0.172 sec/step)
I0724 06:11:48.538890 140531649939328 learning.py:512] global step 115010: loss = 0.0365 (0.172 sec/step)
INFO:tensorflow:global step 115011: loss = 0.0392 (0.184 sec/step)
I0724 06:11:48.724446 140531649939328 learning.py:512] global step 115011: loss = 0.0392 (0.184 sec/step)
INFO:tensorflow:global step 115012: loss = 0.0344 (0.171 sec/step)
I0724 06:11:48.896893 140531649939328 learning.py:512] global step 115012: loss = 0.0344 (0.171 sec/step)
INFO:tensorflow:global step 115013: loss = 0.0109 (0.166 sec/step)
I0724 06:11:49.064376 140531649939328 learning.py:512] global step 115013: loss = 0.0109 (0.166 sec/step)
INFO:tensorflow:global step 115014: loss = 0.0076 (0.166 sec/step)
I0724 06:11:49.232095 140531649939328 learning.py:512] global step 115014: loss = 0.0076 (0.166 sec/step)
INFO:tensorflow:global step 115015: loss = 0.0970 (0.160 sec/step)
I0724 06:11:49.393781 140531649939328 learning.py:512] global step 115015: loss = 0.0970 (0.160 sec/step)
INFO:tensorflow:global step 115016: loss = 0.0251 (0.152 sec/step)
I0724 06:11:49.547456 140531649939328 learning.py:512] global step 115016: loss = 0.0251 (0.152 sec/step)
INFO:tensorflow:global step 115017: loss = 0.0116 (0.159 sec/step)
I0724 06:11:49.707638 140531649939328 learning.py:512] global step 115017: loss = 0.0116 (0.159 sec/step)
INFO:tensorflow:global step 115018: loss = 0.0278 (0.157 sec/step)
I0724 06:11:49.865972 140531649939328 learning.py:512] global step 115018: loss = 0.0278 (0.157 sec/step)
INFO:tensorflow:global step 115019: loss = 0.0171 (0.165 sec/step)
I0724 06:11:50.032708 140531649939328 learning.py:512] global step 115019: loss = 0.0171 (0.165 sec/step)
INFO:tensorflow:global step 115020: loss = 0.0057 (0.159 sec/step)
I0724 06:11:50.192987 140531649939328 learning.py:512] global step 115020: loss = 0.0057 (0.159 sec/step)
INFO:tensorflow:global step 115021: loss = 0.0135 (0.165 sec/step)
I0724 06:11:50.359427 140531649939328 learning.py:512] global step 115021: loss = 0.0135 (0.165 sec/step)
INFO:tensorflow:global step 115022: loss = 0.0138 (0.165 sec/step)
I0724 06:11:50.525591 140531649939328 learning.py:512] global step 115022: loss = 0.0138 (0.165 sec/step)
INFO:tensorflow:global step 115023: loss = 0.0168 (0.163 sec/step)
I0724 06:11:50.690042 140531649939328 learning.py:512] global step 115023: loss = 0.0168 (0.163 sec/step)
INFO:tensorflow:global step 115024: loss = 0.0097 (0.181 sec/step)
I0724 06:11:50.872037 140531649939328 learning.py:512] global step 115024: loss = 0.0097 (0.181 sec/step)
INFO:tensorflow:global step 115025: loss = 0.0185 (0.173 sec/step)
I0724 06:11:51.046004 140531649939328 learning.py:512] global step 115025: loss = 0.0185 (0.173 sec/step)
INFO:tensorflow:global step 115026: loss = 0.0879 (0.164 sec/step)
I0724 06:11:51.211122 140531649939328 learning.py:512] global step 115026: loss = 0.0879 (0.164 sec/step)
INFO:tensorflow:global step 115027: loss = 0.0129 (0.163 sec/step)
I0724 06:11:51.375822 140531649939328 learning.py:512] global step 115027: loss = 0.0129 (0.163 sec/step)
INFO:tensorflow:global step 115028: loss = 0.0107 (0.166 sec/step)
I0724 06:11:51.543278 140531649939328 learning.py:512] global step 115028: loss = 0.0107 (0.166 sec/step)
INFO:tensorflow:global step 115029: loss = 0.0149 (0.154 sec/step)
I0724 06:11:51.698815 140531649939328 learning.py:512] global step 115029: loss = 0.0149 (0.154 sec/step)
INFO:tensorflow:global step 115030: loss = 0.1406 (0.160 sec/step)
I0724 06:11:51.860621 140531649939328 learning.py:512] global step 115030: loss = 0.1406 (0.160 sec/step)
INFO:tensorflow:global step 115031: loss = 0.0822 (0.166 sec/step)
I0724 06:11:52.027601 140531649939328 learning.py:512] global step 115031: loss = 0.0822 (0.166 sec/step)
INFO:tensorflow:global step 115032: loss = 0.0138 (0.152 sec/step)
I0724 06:11:52.181367 140531649939328 learning.py:512] global step 115032: loss = 0.0138 (0.152 sec/step)
INFO:tensorflow:global step 115033: loss = 0.0245 (0.166 sec/step)
I0724 06:11:52.348413 140531649939328 learning.py:512] global step 115033: loss = 0.0245 (0.166 sec/step)
INFO:tensorflow:global step 115034: loss = 0.0127 (0.144 sec/step)
I0724 06:11:52.493971 140531649939328 learning.py:512] global step 115034: loss = 0.0127 (0.144 sec/step)
INFO:tensorflow:global step 115035: loss = 0.0498 (0.158 sec/step)
I0724 06:11:52.653414 140531649939328 learning.py:512] global step 115035: loss = 0.0498 (0.158 sec/step)
INFO:tensorflow:global step 115036: loss = 0.0433 (0.166 sec/step)
I0724 06:11:52.820770 140531649939328 learning.py:512] global step 115036: loss = 0.0433 (0.166 sec/step)
INFO:tensorflow:global step 115037: loss = 0.0415 (0.151 sec/step)
I0724 06:11:52.973045 140531649939328 learning.py:512] global step 115037: loss = 0.0415 (0.151 sec/step)
INFO:tensorflow:global step 115038: loss = 0.0038 (0.143 sec/step)
I0724 06:11:53.117126 140531649939328 learning.py:512] global step 115038: loss = 0.0038 (0.143 sec/step)
INFO:tensorflow:global step 115039: loss = 0.0044 (0.156 sec/step)
I0724 06:11:53.274276 140531649939328 learning.py:512] global step 115039: loss = 0.0044 (0.156 sec/step)
INFO:tensorflow:global step 115040: loss = 0.1901 (0.160 sec/step)
I0724 06:11:53.435920 140531649939328 learning.py:512] global step 115040: loss = 0.1901 (0.160 sec/step)
INFO:tensorflow:global step 115041: loss = 0.0306 (0.153 sec/step)
I0724 06:11:53.590243 140531649939328 learning.py:512] global step 115041: loss = 0.0306 (0.153 sec/step)
INFO:tensorflow:global step 115042: loss = 0.0132 (0.163 sec/step)
I0724 06:11:53.754236 140531649939328 learning.py:512] global step 115042: loss = 0.0132 (0.163 sec/step)
INFO:tensorflow:global step 115043: loss = 0.0229 (0.155 sec/step)
I0724 06:11:53.910213 140531649939328 learning.py:512] global step 115043: loss = 0.0229 (0.155 sec/step)
INFO:tensorflow:global step 115044: loss = 0.0309 (0.159 sec/step)
I0724 06:11:54.070109 140531649939328 learning.py:512] global step 115044: loss = 0.0309 (0.159 sec/step)
INFO:tensorflow:global step 115045: loss = 0.0396 (0.161 sec/step)
I0724 06:11:54.232712 140531649939328 learning.py:512] global step 115045: loss = 0.0396 (0.161 sec/step)
INFO:tensorflow:global step 115046: loss = 0.0201 (0.163 sec/step)
I0724 06:11:54.397221 140531649939328 learning.py:512] global step 115046: loss = 0.0201 (0.163 sec/step)
INFO:tensorflow:global step 115047: loss = 0.0284 (0.160 sec/step)
I0724 06:11:54.558818 140531649939328 learning.py:512] global step 115047: loss = 0.0284 (0.160 sec/step)
INFO:tensorflow:global step 115048: loss = 0.0455 (0.154 sec/step)
I0724 06:11:54.714313 140531649939328 learning.py:512] global step 115048: loss = 0.0455 (0.154 sec/step)
INFO:tensorflow:global step 115049: loss = 0.0229 (0.179 sec/step)
I0724 06:11:54.894717 140531649939328 learning.py:512] global step 115049: loss = 0.0229 (0.179 sec/step)
INFO:tensorflow:global step 115050: loss = 0.0463 (0.172 sec/step)
I0724 06:11:55.068304 140531649939328 learning.py:512] global step 115050: loss = 0.0463 (0.172 sec/step)
INFO:tensorflow:global step 115051: loss = 0.0114 (0.162 sec/step)
I0724 06:11:55.232123 140531649939328 learning.py:512] global step 115051: loss = 0.0114 (0.162 sec/step)
INFO:tensorflow:global step 115052: loss = 0.0410 (0.161 sec/step)
I0724 06:11:55.395209 140531649939328 learning.py:512] global step 115052: loss = 0.0410 (0.161 sec/step)
INFO:tensorflow:global step 115053: loss = 0.0566 (0.169 sec/step)
I0724 06:11:55.565402 140531649939328 learning.py:512] global step 115053: loss = 0.0566 (0.169 sec/step)
INFO:tensorflow:global step 115054: loss = 0.0535 (0.142 sec/step)
I0724 06:11:55.708941 140531649939328 learning.py:512] global step 115054: loss = 0.0535 (0.142 sec/step)
INFO:tensorflow:global step 115055: loss = 0.1317 (0.154 sec/step)
I0724 06:11:55.863989 140531649939328 learning.py:512] global step 115055: loss = 0.1317 (0.154 sec/step)
INFO:tensorflow:global step 115056: loss = 0.0150 (0.176 sec/step)
I0724 06:11:56.041805 140531649939328 learning.py:512] global step 115056: loss = 0.0150 (0.176 sec/step)
INFO:tensorflow:global step 115057: loss = 0.0081 (0.158 sec/step)
I0724 06:11:56.201363 140531649939328 learning.py:512] global step 115057: loss = 0.0081 (0.158 sec/step)
INFO:tensorflow:global step 115058: loss = 0.0172 (0.168 sec/step)
I0724 06:11:56.371370 140531649939328 learning.py:512] global step 115058: loss = 0.0172 (0.168 sec/step)
INFO:tensorflow:global step 115059: loss = 0.0139 (0.165 sec/step)
I0724 06:11:56.537670 140531649939328 learning.py:512] global step 115059: loss = 0.0139 (0.165 sec/step)
INFO:tensorflow:global step 115060: loss = 0.0932 (0.162 sec/step)
I0724 06:11:56.701383 140531649939328 learning.py:512] global step 115060: loss = 0.0932 (0.162 sec/step)
INFO:tensorflow:global step 115061: loss = 0.0461 (0.147 sec/step)
I0724 06:11:56.849738 140531649939328 learning.py:512] global step 115061: loss = 0.0461 (0.147 sec/step)
INFO:tensorflow:global step 115062: loss = 0.0971 (0.180 sec/step)
I0724 06:11:57.031417 140531649939328 learning.py:512] global step 115062: loss = 0.0971 (0.180 sec/step)
INFO:tensorflow:global step 115063: loss = 0.0315 (0.152 sec/step)
I0724 06:11:57.184676 140531649939328 learning.py:512] global step 115063: loss = 0.0315 (0.152 sec/step)
INFO:tensorflow:global step 115064: loss = 0.0368 (0.145 sec/step)
I0724 06:11:57.331242 140531649939328 learning.py:512] global step 115064: loss = 0.0368 (0.145 sec/step)
INFO:tensorflow:global step 115065: loss = 0.0298 (0.158 sec/step)
I0724 06:11:57.491042 140531649939328 learning.py:512] global step 115065: loss = 0.0298 (0.158 sec/step)
INFO:tensorflow:global step 115066: loss = 0.0192 (0.169 sec/step)
I0724 06:11:57.661121 140531649939328 learning.py:512] global step 115066: loss = 0.0192 (0.169 sec/step)
INFO:tensorflow:global step 115067: loss = 0.0430 (0.149 sec/step)
I0724 06:11:57.811562 140531649939328 learning.py:512] global step 115067: loss = 0.0430 (0.149 sec/step)
INFO:tensorflow:global step 115068: loss = 0.0237 (0.159 sec/step)
I0724 06:11:57.972467 140531649939328 learning.py:512] global step 115068: loss = 0.0237 (0.159 sec/step)
INFO:tensorflow:global step 115069: loss = 0.0207 (0.163 sec/step)
I0724 06:11:58.136532 140531649939328 learning.py:512] global step 115069: loss = 0.0207 (0.163 sec/step)
INFO:tensorflow:global step 115070: loss = 0.0156 (0.144 sec/step)
I0724 06:11:58.281545 140531649939328 learning.py:512] global step 115070: loss = 0.0156 (0.144 sec/step)
INFO:tensorflow:global step 115071: loss = 0.0184 (0.160 sec/step)
I0724 06:11:58.443216 140531649939328 learning.py:512] global step 115071: loss = 0.0184 (0.160 sec/step)
INFO:tensorflow:global step 115072: loss = 0.0622 (0.160 sec/step)
I0724 06:11:58.604953 140531649939328 learning.py:512] global step 115072: loss = 0.0622 (0.160 sec/step)
INFO:tensorflow:global step 115073: loss = 0.0071 (0.136 sec/step)
I0724 06:11:58.741681 140531649939328 learning.py:512] global step 115073: loss = 0.0071 (0.136 sec/step)
INFO:tensorflow:global step 115074: loss = 0.0669 (0.154 sec/step)
I0724 06:11:58.898397 140531649939328 learning.py:512] global step 115074: loss = 0.0669 (0.154 sec/step)
INFO:tensorflow:global step 115075: loss = 0.0383 (0.180 sec/step)
I0724 06:11:59.081522 140531649939328 learning.py:512] global step 115075: loss = 0.0383 (0.180 sec/step)
INFO:tensorflow:global step 115076: loss = 0.0217 (0.159 sec/step)
I0724 06:11:59.241816 140531649939328 learning.py:512] global step 115076: loss = 0.0217 (0.159 sec/step)
INFO:tensorflow:global step 115077: loss = 0.0042 (0.156 sec/step)
I0724 06:11:59.400829 140531649939328 learning.py:512] global step 115077: loss = 0.0042 (0.156 sec/step)
INFO:tensorflow:global step 115078: loss = 0.1168 (0.146 sec/step)
I0724 06:11:59.547938 140531649939328 learning.py:512] global step 115078: loss = 0.1168 (0.146 sec/step)
INFO:tensorflow:global step 115079: loss = 0.0428 (0.161 sec/step)
I0724 06:11:59.710687 140531649939328 learning.py:512] global step 115079: loss = 0.0428 (0.161 sec/step)
INFO:tensorflow:global step 115080: loss = 0.0923 (0.161 sec/step)
I0724 06:11:59.873343 140531649939328 learning.py:512] global step 115080: loss = 0.0923 (0.161 sec/step)
INFO:tensorflow:global step 115081: loss = 0.0109 (0.146 sec/step)
I0724 06:12:00.020908 140531649939328 learning.py:512] global step 115081: loss = 0.0109 (0.146 sec/step)
INFO:tensorflow:global step 115082: loss = 0.0262 (0.174 sec/step)
I0724 06:12:00.195815 140531649939328 learning.py:512] global step 115082: loss = 0.0262 (0.174 sec/step)
INFO:tensorflow:global step 115083: loss = 0.0468 (0.148 sec/step)
I0724 06:12:00.345580 140531649939328 learning.py:512] global step 115083: loss = 0.0468 (0.148 sec/step)
INFO:tensorflow:global step 115084: loss = 0.0108 (0.163 sec/step)
I0724 06:12:00.509911 140531649939328 learning.py:512] global step 115084: loss = 0.0108 (0.163 sec/step)
INFO:tensorflow:global step 115085: loss = 0.0226 (0.151 sec/step)
I0724 06:12:00.662451 140531649939328 learning.py:512] global step 115085: loss = 0.0226 (0.151 sec/step)
INFO:tensorflow:global step 115086: loss = 0.0058 (0.152 sec/step)
I0724 06:12:00.815500 140531649939328 learning.py:512] global step 115086: loss = 0.0058 (0.152 sec/step)
INFO:tensorflow:global step 115087: loss = 0.0270 (0.160 sec/step)
I0724 06:12:00.977191 140531649939328 learning.py:512] global step 115087: loss = 0.0270 (0.160 sec/step)
INFO:tensorflow:global step 115088: loss = 0.0235 (0.165 sec/step)
I0724 06:12:01.143118 140531649939328 learning.py:512] global step 115088: loss = 0.0235 (0.165 sec/step)
INFO:tensorflow:global step 115089: loss = 0.0175 (0.158 sec/step)
I0724 06:12:01.302426 140531649939328 learning.py:512] global step 115089: loss = 0.0175 (0.158 sec/step)
INFO:tensorflow:global step 115090: loss = 0.1401 (0.170 sec/step)
I0724 06:12:01.473569 140531649939328 learning.py:512] global step 115090: loss = 0.1401 (0.170 sec/step)
INFO:tensorflow:global step 115091: loss = 0.0427 (0.164 sec/step)
I0724 06:12:01.638925 140531649939328 learning.py:512] global step 115091: loss = 0.0427 (0.164 sec/step)
INFO:tensorflow:global step 115092: loss = 0.0246 (0.143 sec/step)
I0724 06:12:01.783025 140531649939328 learning.py:512] global step 115092: loss = 0.0246 (0.143 sec/step)
INFO:tensorflow:global step 115093: loss = 0.0329 (0.150 sec/step)
I0724 06:12:01.934065 140531649939328 learning.py:512] global step 115093: loss = 0.0329 (0.150 sec/step)
INFO:tensorflow:global step 115094: loss = 0.0348 (0.168 sec/step)
I0724 06:12:02.103684 140531649939328 learning.py:512] global step 115094: loss = 0.0348 (0.168 sec/step)
INFO:tensorflow:global step 115095: loss = 0.0234 (0.154 sec/step)
I0724 06:12:02.258911 140531649939328 learning.py:512] global step 115095: loss = 0.0234 (0.154 sec/step)
INFO:tensorflow:global step 115096: loss = 0.0011 (0.166 sec/step)
I0724 06:12:02.426445 140531649939328 learning.py:512] global step 115096: loss = 0.0011 (0.166 sec/step)
INFO:tensorflow:global step 115097: loss = 0.0114 (0.158 sec/step)
I0724 06:12:02.586104 140531649939328 learning.py:512] global step 115097: loss = 0.0114 (0.158 sec/step)
INFO:tensorflow:global step 115098: loss = 0.0206 (0.148 sec/step)
I0724 06:12:02.735352 140531649939328 learning.py:512] global step 115098: loss = 0.0206 (0.148 sec/step)
INFO:tensorflow:global step 115099: loss = 0.0076 (0.162 sec/step)
I0724 06:12:02.898944 140531649939328 learning.py:512] global step 115099: loss = 0.0076 (0.162 sec/step)
INFO:tensorflow:global step 115100: loss = 0.0242 (0.191 sec/step)
I0724 06:12:03.091550 140531649939328 learning.py:512] global step 115100: loss = 0.0242 (0.191 sec/step)
INFO:tensorflow:global step 115101: loss = 0.0150 (0.298 sec/step)
I0724 06:12:03.391817 140531649939328 learning.py:512] global step 115101: loss = 0.0150 (0.298 sec/step)
INFO:tensorflow:global step 115102: loss = 0.0653 (0.230 sec/step)
I0724 06:12:03.623975 140531649939328 learning.py:512] global step 115102: loss = 0.0653 (0.230 sec/step)
INFO:tensorflow:global step 115103: loss = 0.0065 (0.164 sec/step)
I0724 06:12:03.789210 140531649939328 learning.py:512] global step 115103: loss = 0.0065 (0.164 sec/step)
INFO:tensorflow:global step 115104: loss = 0.0181 (0.164 sec/step)
I0724 06:12:03.954804 140531649939328 learning.py:512] global step 115104: loss = 0.0181 (0.164 sec/step)
INFO:tensorflow:global step 115105: loss = 0.0146 (0.170 sec/step)
I0724 06:12:04.128322 140531649939328 learning.py:512] global step 115105: loss = 0.0146 (0.170 sec/step)
INFO:tensorflow:global step 115106: loss = 0.0391 (0.170 sec/step)
I0724 06:12:04.300697 140531649939328 learning.py:512] global step 115106: loss = 0.0391 (0.170 sec/step)
INFO:tensorflow:global step 115107: loss = 0.0654 (0.151 sec/step)
I0724 06:12:04.452642 140531649939328 learning.py:512] global step 115107: loss = 0.0654 (0.151 sec/step)
INFO:tensorflow:global step 115108: loss = 0.0365 (0.170 sec/step)
I0724 06:12:04.624197 140531649939328 learning.py:512] global step 115108: loss = 0.0365 (0.170 sec/step)
INFO:tensorflow:global step 115109: loss = 0.0133 (0.147 sec/step)
I0724 06:12:04.772330 140531649939328 learning.py:512] global step 115109: loss = 0.0133 (0.147 sec/step)
INFO:tensorflow:global step 115110: loss = 0.0435 (0.180 sec/step)
I0724 06:12:04.953687 140531649939328 learning.py:512] global step 115110: loss = 0.0435 (0.180 sec/step)
INFO:tensorflow:global step 115111: loss = 0.0352 (0.161 sec/step)
I0724 06:12:05.115674 140531649939328 learning.py:512] global step 115111: loss = 0.0352 (0.161 sec/step)
INFO:tensorflow:global step 115112: loss = 0.0398 (0.174 sec/step)
I0724 06:12:05.290682 140531649939328 learning.py:512] global step 115112: loss = 0.0398 (0.174 sec/step)
INFO:tensorflow:global step 115113: loss = 0.0019 (0.188 sec/step)
I0724 06:12:05.480344 140531649939328 learning.py:512] global step 115113: loss = 0.0019 (0.188 sec/step)
INFO:tensorflow:global step 115114: loss = 0.0827 (0.171 sec/step)
I0724 06:12:05.652967 140531649939328 learning.py:512] global step 115114: loss = 0.0827 (0.171 sec/step)
INFO:tensorflow:global step 115115: loss = 0.0164 (0.151 sec/step)
I0724 06:12:05.806968 140531649939328 learning.py:512] global step 115115: loss = 0.0164 (0.151 sec/step)
INFO:tensorflow:global step 115116: loss = 0.0150 (0.160 sec/step)
I0724 06:12:05.968082 140531649939328 learning.py:512] global step 115116: loss = 0.0150 (0.160 sec/step)
INFO:tensorflow:global step 115117: loss = 0.0270 (0.182 sec/step)
I0724 06:12:06.151387 140531649939328 learning.py:512] global step 115117: loss = 0.0270 (0.182 sec/step)
INFO:tensorflow:global step 115118: loss = 0.0692 (0.170 sec/step)
I0724 06:12:06.323103 140531649939328 learning.py:512] global step 115118: loss = 0.0692 (0.170 sec/step)
INFO:tensorflow:global step 115119: loss = 0.0779 (0.175 sec/step)
I0724 06:12:06.499882 140531649939328 learning.py:512] global step 115119: loss = 0.0779 (0.175 sec/step)
INFO:tensorflow:global step 115120: loss = 0.0262 (0.146 sec/step)
I0724 06:12:06.647749 140531649939328 learning.py:512] global step 115120: loss = 0.0262 (0.146 sec/step)
INFO:tensorflow:global step 115121: loss = 0.0361 (0.161 sec/step)
I0724 06:12:06.810129 140531649939328 learning.py:512] global step 115121: loss = 0.0361 (0.161 sec/step)
INFO:tensorflow:global step 115122: loss = 0.0393 (0.163 sec/step)
I0724 06:12:06.974285 140531649939328 learning.py:512] global step 115122: loss = 0.0393 (0.163 sec/step)
INFO:tensorflow:global step 115123: loss = 0.0024 (0.165 sec/step)
I0724 06:12:07.141728 140531649939328 learning.py:512] global step 115123: loss = 0.0024 (0.165 sec/step)
INFO:tensorflow:global step 115124: loss = 0.0583 (0.156 sec/step)
I0724 06:12:07.299304 140531649939328 learning.py:512] global step 115124: loss = 0.0583 (0.156 sec/step)
INFO:tensorflow:global step 115125: loss = 0.0225 (0.154 sec/step)
I0724 06:12:07.454757 140531649939328 learning.py:512] global step 115125: loss = 0.0225 (0.154 sec/step)
INFO:tensorflow:global step 115126: loss = 0.0736 (0.160 sec/step)
I0724 06:12:07.616601 140531649939328 learning.py:512] global step 115126: loss = 0.0736 (0.160 sec/step)
INFO:tensorflow:global step 115127: loss = 0.0244 (0.172 sec/step)
I0724 06:12:07.789907 140531649939328 learning.py:512] global step 115127: loss = 0.0244 (0.172 sec/step)
INFO:tensorflow:global step 115128: loss = 0.0062 (0.158 sec/step)
I0724 06:12:07.948961 140531649939328 learning.py:512] global step 115128: loss = 0.0062 (0.158 sec/step)
INFO:tensorflow:global step 115129: loss = 0.0073 (0.156 sec/step)
I0724 06:12:08.106465 140531649939328 learning.py:512] global step 115129: loss = 0.0073 (0.156 sec/step)
INFO:tensorflow:global step 115130: loss = 0.0662 (0.190 sec/step)
I0724 06:12:08.297425 140531649939328 learning.py:512] global step 115130: loss = 0.0662 (0.190 sec/step)
INFO:tensorflow:global step 115131: loss = 0.0244 (0.149 sec/step)
I0724 06:12:08.447671 140531649939328 learning.py:512] global step 115131: loss = 0.0244 (0.149 sec/step)
INFO:tensorflow:global step 115132: loss = 0.0456 (0.162 sec/step)
I0724 06:12:08.611281 140531649939328 learning.py:512] global step 115132: loss = 0.0456 (0.162 sec/step)
INFO:tensorflow:global step 115133: loss = 0.0200 (0.168 sec/step)
I0724 06:12:08.780601 140531649939328 learning.py:512] global step 115133: loss = 0.0200 (0.168 sec/step)
INFO:tensorflow:global step 115134: loss = 0.0157 (0.154 sec/step)
I0724 06:12:08.935761 140531649939328 learning.py:512] global step 115134: loss = 0.0157 (0.154 sec/step)
INFO:tensorflow:global step 115135: loss = 0.1287 (0.161 sec/step)
I0724 06:12:09.100176 140531649939328 learning.py:512] global step 115135: loss = 0.1287 (0.161 sec/step)
INFO:tensorflow:global step 115136: loss = 0.0479 (0.156 sec/step)
I0724 06:12:09.257340 140531649939328 learning.py:512] global step 115136: loss = 0.0479 (0.156 sec/step)
INFO:tensorflow:global step 115137: loss = 0.0563 (0.158 sec/step)
I0724 06:12:09.416558 140531649939328 learning.py:512] global step 115137: loss = 0.0563 (0.158 sec/step)
INFO:tensorflow:global step 115138: loss = 0.0168 (0.163 sec/step)
I0724 06:12:09.582008 140531649939328 learning.py:512] global step 115138: loss = 0.0168 (0.163 sec/step)
INFO:tensorflow:global step 115139: loss = 0.0334 (0.170 sec/step)
I0724 06:12:09.753105 140531649939328 learning.py:512] global step 115139: loss = 0.0334 (0.170 sec/step)
INFO:tensorflow:global step 115140: loss = 0.0203 (0.164 sec/step)
I0724 06:12:09.918736 140531649939328 learning.py:512] global step 115140: loss = 0.0203 (0.164 sec/step)
INFO:tensorflow:global step 115141: loss = 0.0357 (0.170 sec/step)
I0724 06:12:10.090073 140531649939328 learning.py:512] global step 115141: loss = 0.0357 (0.170 sec/step)
INFO:tensorflow:global step 115142: loss = 0.0758 (0.173 sec/step)
I0724 06:12:10.266599 140531649939328 learning.py:512] global step 115142: loss = 0.0758 (0.173 sec/step)
INFO:tensorflow:global step 115143: loss = 0.0067 (0.150 sec/step)
I0724 06:12:10.417528 140531649939328 learning.py:512] global step 115143: loss = 0.0067 (0.150 sec/step)
INFO:tensorflow:global step 115144: loss = 0.1218 (0.164 sec/step)
I0724 06:12:10.582981 140531649939328 learning.py:512] global step 115144: loss = 0.1218 (0.164 sec/step)
INFO:tensorflow:global step 115145: loss = 0.0601 (0.157 sec/step)
I0724 06:12:10.741667 140531649939328 learning.py:512] global step 115145: loss = 0.0601 (0.157 sec/step)
INFO:tensorflow:global step 115146: loss = 0.0214 (0.165 sec/step)
I0724 06:12:10.908427 140531649939328 learning.py:512] global step 115146: loss = 0.0214 (0.165 sec/step)
INFO:tensorflow:global step 115147: loss = 0.0839 (0.289 sec/step)
I0724 06:12:11.270389 140531649939328 learning.py:512] global step 115147: loss = 0.0839 (0.289 sec/step)
INFO:tensorflow:global step 115148: loss = 0.0215 (0.265 sec/step)
I0724 06:12:11.540647 140531649939328 learning.py:512] global step 115148: loss = 0.0215 (0.265 sec/step)
INFO:tensorflow:Recording summary at step 115148.
I0724 06:12:11.717553 140528128378624 supervisor.py:1050] Recording summary at step 115148.
INFO:tensorflow:global step 115149: loss = 0.0889 (0.275 sec/step)
I0724 06:12:11.817660 140531649939328 learning.py:512] global step 115149: loss = 0.0889 (0.275 sec/step)
INFO:tensorflow:global step 115150: loss = 0.0639 (0.171 sec/step)
I0724 06:12:11.990222 140531649939328 learning.py:512] global step 115150: loss = 0.0639 (0.171 sec/step)
INFO:tensorflow:global step 115151: loss = 0.0718 (0.163 sec/step)
I0724 06:12:12.154170 140531649939328 learning.py:512] global step 115151: loss = 0.0718 (0.163 sec/step)
INFO:tensorflow:global step 115152: loss = 0.0353 (0.160 sec/step)
I0724 06:12:12.315892 140531649939328 learning.py:512] global step 115152: loss = 0.0353 (0.160 sec/step)
INFO:tensorflow:global step 115153: loss = 0.0532 (0.165 sec/step)
I0724 06:12:12.482647 140531649939328 learning.py:512] global step 115153: loss = 0.0532 (0.165 sec/step)
INFO:tensorflow:global step 115154: loss = 0.0191 (0.169 sec/step)
I0724 06:12:12.653491 140531649939328 learning.py:512] global step 115154: loss = 0.0191 (0.169 sec/step)
INFO:tensorflow:global step 115155: loss = 0.0208 (0.162 sec/step)
I0724 06:12:12.816660 140531649939328 learning.py:512] global step 115155: loss = 0.0208 (0.162 sec/step)
INFO:tensorflow:global step 115156: loss = 0.0051 (0.160 sec/step)
I0724 06:12:12.978001 140531649939328 learning.py:512] global step 115156: loss = 0.0051 (0.160 sec/step)
INFO:tensorflow:global step 115157: loss = 0.0288 (0.164 sec/step)
I0724 06:12:13.143537 140531649939328 learning.py:512] global step 115157: loss = 0.0288 (0.164 sec/step)
INFO:tensorflow:global step 115158: loss = 0.0115 (0.165 sec/step)
I0724 06:12:13.309678 140531649939328 learning.py:512] global step 115158: loss = 0.0115 (0.165 sec/step)
INFO:tensorflow:global step 115159: loss = 0.0132 (0.178 sec/step)
I0724 06:12:13.488591 140531649939328 learning.py:512] global step 115159: loss = 0.0132 (0.178 sec/step)
INFO:tensorflow:global step 115160: loss = 0.0243 (0.162 sec/step)
I0724 06:12:13.651991 140531649939328 learning.py:512] global step 115160: loss = 0.0243 (0.162 sec/step)
INFO:tensorflow:global step 115161: loss = 0.0808 (0.159 sec/step)
I0724 06:12:13.811941 140531649939328 learning.py:512] global step 115161: loss = 0.0808 (0.159 sec/step)
INFO:tensorflow:global step 115162: loss = 0.0178 (0.152 sec/step)
I0724 06:12:13.965447 140531649939328 learning.py:512] global step 115162: loss = 0.0178 (0.152 sec/step)
INFO:tensorflow:global step 115163: loss = 0.0446 (0.156 sec/step)
I0724 06:12:14.123274 140531649939328 learning.py:512] global step 115163: loss = 0.0446 (0.156 sec/step)
INFO:tensorflow:global step 115164: loss = 0.0477 (0.162 sec/step)
I0724 06:12:14.287005 140531649939328 learning.py:512] global step 115164: loss = 0.0477 (0.162 sec/step)
INFO:tensorflow:global step 115165: loss = 0.0616 (0.159 sec/step)
I0724 06:12:14.447531 140531649939328 learning.py:512] global step 115165: loss = 0.0616 (0.159 sec/step)
INFO:tensorflow:global step 115166: loss = 0.0197 (0.165 sec/step)
I0724 06:12:14.614080 140531649939328 learning.py:512] global step 115166: loss = 0.0197 (0.165 sec/step)
INFO:tensorflow:global step 115167: loss = 0.0220 (0.164 sec/step)
I0724 06:12:14.779883 140531649939328 learning.py:512] global step 115167: loss = 0.0220 (0.164 sec/step)
INFO:tensorflow:global step 115168: loss = 0.0581 (0.164 sec/step)
I0724 06:12:14.944983 140531649939328 learning.py:512] global step 115168: loss = 0.0581 (0.164 sec/step)
INFO:tensorflow:global step 115169: loss = 0.0045 (0.157 sec/step)
I0724 06:12:15.104077 140531649939328 learning.py:512] global step 115169: loss = 0.0045 (0.157 sec/step)
INFO:tensorflow:global step 115170: loss = 0.0183 (0.159 sec/step)
I0724 06:12:15.264077 140531649939328 learning.py:512] global step 115170: loss = 0.0183 (0.159 sec/step)
INFO:tensorflow:global step 115171: loss = 0.0155 (0.218 sec/step)
I0724 06:12:15.483210 140531649939328 learning.py:512] global step 115171: loss = 0.0155 (0.218 sec/step)
INFO:tensorflow:global step 115172: loss = 0.0944 (0.169 sec/step)
I0724 06:12:15.653883 140531649939328 learning.py:512] global step 115172: loss = 0.0944 (0.169 sec/step)
INFO:tensorflow:global step 115173: loss = 0.0152 (0.140 sec/step)
I0724 06:12:15.795819 140531649939328 learning.py:512] global step 115173: loss = 0.0152 (0.140 sec/step)
INFO:tensorflow:global step 115174: loss = 0.0133 (0.159 sec/step)
I0724 06:12:15.956180 140531649939328 learning.py:512] global step 115174: loss = 0.0133 (0.159 sec/step)
INFO:tensorflow:global step 115175: loss = 0.0140 (0.166 sec/step)
I0724 06:12:16.123914 140531649939328 learning.py:512] global step 115175: loss = 0.0140 (0.166 sec/step)
INFO:tensorflow:global step 115176: loss = 0.1196 (0.162 sec/step)
I0724 06:12:16.287044 140531649939328 learning.py:512] global step 115176: loss = 0.1196 (0.162 sec/step)
INFO:tensorflow:global step 115177: loss = 0.0180 (0.166 sec/step)
I0724 06:12:16.454227 140531649939328 learning.py:512] global step 115177: loss = 0.0180 (0.166 sec/step)
INFO:tensorflow:global step 115178: loss = 0.0717 (0.153 sec/step)
I0724 06:12:16.608814 140531649939328 learning.py:512] global step 115178: loss = 0.0717 (0.153 sec/step)
INFO:tensorflow:global step 115179: loss = 0.0470 (0.161 sec/step)
I0724 06:12:16.771647 140531649939328 learning.py:512] global step 115179: loss = 0.0470 (0.161 sec/step)
INFO:tensorflow:global step 115180: loss = 0.0284 (0.166 sec/step)
I0724 06:12:16.939442 140531649939328 learning.py:512] global step 115180: loss = 0.0284 (0.166 sec/step)
INFO:tensorflow:global step 115181: loss = 0.0360 (0.167 sec/step)
I0724 06:12:17.107801 140531649939328 learning.py:512] global step 115181: loss = 0.0360 (0.167 sec/step)
INFO:tensorflow:global step 115182: loss = 0.0342 (0.168 sec/step)
I0724 06:12:17.276775 140531649939328 learning.py:512] global step 115182: loss = 0.0342 (0.168 sec/step)
INFO:tensorflow:global step 115183: loss = 0.0221 (0.171 sec/step)
I0724 06:12:17.448884 140531649939328 learning.py:512] global step 115183: loss = 0.0221 (0.171 sec/step)
INFO:tensorflow:global step 115184: loss = 0.0211 (0.168 sec/step)
I0724 06:12:17.617751 140531649939328 learning.py:512] global step 115184: loss = 0.0211 (0.168 sec/step)
INFO:tensorflow:global step 115185: loss = 0.0169 (0.162 sec/step)
I0724 06:12:17.781043 140531649939328 learning.py:512] global step 115185: loss = 0.0169 (0.162 sec/step)
INFO:tensorflow:global step 115186: loss = 0.0189 (0.162 sec/step)
I0724 06:12:17.944290 140531649939328 learning.py:512] global step 115186: loss = 0.0189 (0.162 sec/step)
INFO:tensorflow:global step 115187: loss = 0.0231 (0.144 sec/step)
I0724 06:12:18.089941 140531649939328 learning.py:512] global step 115187: loss = 0.0231 (0.144 sec/step)
INFO:tensorflow:global step 115188: loss = 0.0085 (0.180 sec/step)
I0724 06:12:18.271220 140531649939328 learning.py:512] global step 115188: loss = 0.0085 (0.180 sec/step)
INFO:tensorflow:global step 115189: loss = 0.0648 (0.172 sec/step)
I0724 06:12:18.445127 140531649939328 learning.py:512] global step 115189: loss = 0.0648 (0.172 sec/step)
INFO:tensorflow:global step 115190: loss = 0.0237 (0.140 sec/step)
I0724 06:12:18.586546 140531649939328 learning.py:512] global step 115190: loss = 0.0237 (0.140 sec/step)
INFO:tensorflow:global step 115191: loss = 0.0238 (0.164 sec/step)
I0724 06:12:18.752028 140531649939328 learning.py:512] global step 115191: loss = 0.0238 (0.164 sec/step)
INFO:tensorflow:global step 115192: loss = 0.0265 (0.151 sec/step)
I0724 06:12:18.904478 140531649939328 learning.py:512] global step 115192: loss = 0.0265 (0.151 sec/step)
INFO:tensorflow:global step 115193: loss = 0.0928 (0.172 sec/step)
I0724 06:12:19.077549 140531649939328 learning.py:512] global step 115193: loss = 0.0928 (0.172 sec/step)
INFO:tensorflow:global step 115194: loss = 0.0094 (0.153 sec/step)
I0724 06:12:19.232355 140531649939328 learning.py:512] global step 115194: loss = 0.0094 (0.153 sec/step)
INFO:tensorflow:global step 115195: loss = 0.0062 (0.159 sec/step)
I0724 06:12:19.393393 140531649939328 learning.py:512] global step 115195: loss = 0.0062 (0.159 sec/step)
INFO:tensorflow:global step 115196: loss = 0.0679 (0.171 sec/step)
I0724 06:12:19.565877 140531649939328 learning.py:512] global step 115196: loss = 0.0679 (0.171 sec/step)
INFO:tensorflow:global step 115197: loss = 0.0121 (0.160 sec/step)
I0724 06:12:19.727436 140531649939328 learning.py:512] global step 115197: loss = 0.0121 (0.160 sec/step)
INFO:tensorflow:global step 115198: loss = 0.0220 (0.162 sec/step)
I0724 06:12:19.891392 140531649939328 learning.py:512] global step 115198: loss = 0.0220 (0.162 sec/step)
INFO:tensorflow:global step 115199: loss = 0.0132 (0.153 sec/step)
I0724 06:12:20.045511 140531649939328 learning.py:512] global step 115199: loss = 0.0132 (0.153 sec/step)
INFO:tensorflow:global step 115200: loss = 0.0465 (0.154 sec/step)
I0724 06:12:20.200900 140531649939328 learning.py:512] global step 115200: loss = 0.0465 (0.154 sec/step)
INFO:tensorflow:global step 115201: loss = 0.0064 (0.153 sec/step)
I0724 06:12:20.355641 140531649939328 learning.py:512] global step 115201: loss = 0.0064 (0.153 sec/step)
INFO:tensorflow:global step 115202: loss = 0.0148 (0.178 sec/step)
I0724 06:12:20.536980 140531649939328 learning.py:512] global step 115202: loss = 0.0148 (0.178 sec/step)
INFO:tensorflow:global step 115203: loss = 0.0074 (0.159 sec/step)
I0724 06:12:20.697501 140531649939328 learning.py:512] global step 115203: loss = 0.0074 (0.159 sec/step)
INFO:tensorflow:global step 115204: loss = 0.0128 (0.157 sec/step)
I0724 06:12:20.855409 140531649939328 learning.py:512] global step 115204: loss = 0.0128 (0.157 sec/step)
INFO:tensorflow:global step 115205: loss = 0.0730 (0.174 sec/step)
I0724 06:12:21.030724 140531649939328 learning.py:512] global step 115205: loss = 0.0730 (0.174 sec/step)
INFO:tensorflow:global step 115206: loss = 0.0080 (0.146 sec/step)
I0724 06:12:21.177595 140531649939328 learning.py:512] global step 115206: loss = 0.0080 (0.146 sec/step)
INFO:tensorflow:global step 115207: loss = 0.0457 (0.144 sec/step)
I0724 06:12:21.322969 140531649939328 learning.py:512] global step 115207: loss = 0.0457 (0.144 sec/step)
INFO:tensorflow:global step 115208: loss = 0.0181 (0.164 sec/step)
I0724 06:12:21.487933 140531649939328 learning.py:512] global step 115208: loss = 0.0181 (0.164 sec/step)
INFO:tensorflow:global step 115209: loss = 0.0153 (0.173 sec/step)
I0724 06:12:21.661948 140531649939328 learning.py:512] global step 115209: loss = 0.0153 (0.173 sec/step)
INFO:tensorflow:global step 115210: loss = 0.0261 (0.156 sec/step)
I0724 06:12:21.819757 140531649939328 learning.py:512] global step 115210: loss = 0.0261 (0.156 sec/step)
INFO:tensorflow:global step 115211: loss = 0.1376 (0.145 sec/step)
I0724 06:12:21.966245 140531649939328 learning.py:512] global step 115211: loss = 0.1376 (0.145 sec/step)
INFO:tensorflow:global step 115212: loss = 0.0312 (0.174 sec/step)
I0724 06:12:22.142251 140531649939328 learning.py:512] global step 115212: loss = 0.0312 (0.174 sec/step)
INFO:tensorflow:global step 115213: loss = 0.0226 (0.158 sec/step)
I0724 06:12:22.301670 140531649939328 learning.py:512] global step 115213: loss = 0.0226 (0.158 sec/step)
INFO:tensorflow:global step 115214: loss = 0.0219 (0.178 sec/step)
I0724 06:12:22.480699 140531649939328 learning.py:512] global step 115214: loss = 0.0219 (0.178 sec/step)
INFO:tensorflow:global step 115215: loss = 0.0430 (0.162 sec/step)
I0724 06:12:22.644153 140531649939328 learning.py:512] global step 115215: loss = 0.0430 (0.162 sec/step)
INFO:tensorflow:global step 115216: loss = 0.0180 (0.162 sec/step)
I0724 06:12:22.807079 140531649939328 learning.py:512] global step 115216: loss = 0.0180 (0.162 sec/step)
INFO:tensorflow:global step 115217: loss = 0.0236 (0.148 sec/step)
I0724 06:12:22.956343 140531649939328 learning.py:512] global step 115217: loss = 0.0236 (0.148 sec/step)
INFO:tensorflow:global step 115218: loss = 0.0403 (0.166 sec/step)
I0724 06:12:23.124042 140531649939328 learning.py:512] global step 115218: loss = 0.0403 (0.166 sec/step)
INFO:tensorflow:global step 115219: loss = 0.0079 (0.218 sec/step)
I0724 06:12:23.343449 140531649939328 learning.py:512] global step 115219: loss = 0.0079 (0.218 sec/step)
INFO:tensorflow:global step 115220: loss = 0.0219 (0.221 sec/step)
I0724 06:12:23.565706 140531649939328 learning.py:512] global step 115220: loss = 0.0219 (0.221 sec/step)
INFO:tensorflow:global step 115221: loss = 0.0207 (0.169 sec/step)
I0724 06:12:23.735686 140531649939328 learning.py:512] global step 115221: loss = 0.0207 (0.169 sec/step)
INFO:tensorflow:global step 115222: loss = 0.0228 (0.169 sec/step)
I0724 06:12:23.905766 140531649939328 learning.py:512] global step 115222: loss = 0.0228 (0.169 sec/step)
INFO:tensorflow:global step 115223: loss = 0.0065 (0.158 sec/step)
I0724 06:12:24.064643 140531649939328 learning.py:512] global step 115223: loss = 0.0065 (0.158 sec/step)
INFO:tensorflow:global step 115224: loss = 0.1787 (0.154 sec/step)
I0724 06:12:24.220304 140531649939328 learning.py:512] global step 115224: loss = 0.1787 (0.154 sec/step)
INFO:tensorflow:global step 115225: loss = 0.0457 (0.156 sec/step)
I0724 06:12:24.378024 140531649939328 learning.py:512] global step 115225: loss = 0.0457 (0.156 sec/step)
INFO:tensorflow:global step 115226: loss = 0.0281 (0.165 sec/step)
I0724 06:12:24.544612 140531649939328 learning.py:512] global step 115226: loss = 0.0281 (0.165 sec/step)
INFO:tensorflow:global step 115227: loss = 0.0158 (0.182 sec/step)
I0724 06:12:24.728155 140531649939328 learning.py:512] global step 115227: loss = 0.0158 (0.182 sec/step)
INFO:tensorflow:global step 115228: loss = 0.0149 (0.160 sec/step)
I0724 06:12:24.889621 140531649939328 learning.py:512] global step 115228: loss = 0.0149 (0.160 sec/step)
INFO:tensorflow:global step 115229: loss = 0.1059 (0.181 sec/step)
I0724 06:12:25.071990 140531649939328 learning.py:512] global step 115229: loss = 0.1059 (0.181 sec/step)
INFO:tensorflow:global step 115230: loss = 0.0238 (0.161 sec/step)
I0724 06:12:25.233899 140531649939328 learning.py:512] global step 115230: loss = 0.0238 (0.161 sec/step)
INFO:tensorflow:global step 115231: loss = 0.0455 (0.144 sec/step)
I0724 06:12:25.379281 140531649939328 learning.py:512] global step 115231: loss = 0.0455 (0.144 sec/step)
INFO:tensorflow:global step 115232: loss = 0.0135 (0.184 sec/step)
I0724 06:12:25.565152 140531649939328 learning.py:512] global step 115232: loss = 0.0135 (0.184 sec/step)
INFO:tensorflow:global step 115233: loss = 0.0121 (0.180 sec/step)
I0724 06:12:25.746207 140531649939328 learning.py:512] global step 115233: loss = 0.0121 (0.180 sec/step)
INFO:tensorflow:global step 115234: loss = 0.0466 (0.147 sec/step)
I0724 06:12:25.895645 140531649939328 learning.py:512] global step 115234: loss = 0.0466 (0.147 sec/step)
INFO:tensorflow:global step 115235: loss = 0.1257 (0.190 sec/step)
I0724 06:12:26.089322 140531649939328 learning.py:512] global step 115235: loss = 0.1257 (0.190 sec/step)
INFO:tensorflow:global step 115236: loss = 0.0110 (0.205 sec/step)
I0724 06:12:26.295730 140531649939328 learning.py:512] global step 115236: loss = 0.0110 (0.205 sec/step)
INFO:tensorflow:global step 115237: loss = 0.0712 (0.157 sec/step)
I0724 06:12:26.454601 140531649939328 learning.py:512] global step 115237: loss = 0.0712 (0.157 sec/step)
INFO:tensorflow:global step 115238: loss = 0.0092 (0.161 sec/step)
I0724 06:12:26.616946 140531649939328 learning.py:512] global step 115238: loss = 0.0092 (0.161 sec/step)
INFO:tensorflow:global step 115239: loss = 0.0511 (0.193 sec/step)
I0724 06:12:26.811230 140531649939328 learning.py:512] global step 115239: loss = 0.0511 (0.193 sec/step)
INFO:tensorflow:global step 115240: loss = 0.0403 (0.181 sec/step)
I0724 06:12:26.993292 140531649939328 learning.py:512] global step 115240: loss = 0.0403 (0.181 sec/step)
INFO:tensorflow:global step 115241: loss = 0.0120 (0.172 sec/step)
I0724 06:12:27.166813 140531649939328 learning.py:512] global step 115241: loss = 0.0120 (0.172 sec/step)
INFO:tensorflow:global step 115242: loss = 0.0591 (0.147 sec/step)
I0724 06:12:27.314741 140531649939328 learning.py:512] global step 115242: loss = 0.0591 (0.147 sec/step)
INFO:tensorflow:global step 115243: loss = 0.0274 (0.213 sec/step)
I0724 06:12:27.530478 140531649939328 learning.py:512] global step 115243: loss = 0.0274 (0.213 sec/step)
INFO:tensorflow:global step 115244: loss = 0.0280 (0.156 sec/step)
I0724 06:12:27.687979 140531649939328 learning.py:512] global step 115244: loss = 0.0280 (0.156 sec/step)
INFO:tensorflow:global step 115245: loss = 0.0029 (0.170 sec/step)
I0724 06:12:27.859431 140531649939328 learning.py:512] global step 115245: loss = 0.0029 (0.170 sec/step)
INFO:tensorflow:global step 115246: loss = 0.0388 (0.161 sec/step)
I0724 06:12:28.022219 140531649939328 learning.py:512] global step 115246: loss = 0.0388 (0.161 sec/step)
INFO:tensorflow:global step 115247: loss = 0.0178 (0.170 sec/step)
I0724 06:12:28.194000 140531649939328 learning.py:512] global step 115247: loss = 0.0178 (0.170 sec/step)
INFO:tensorflow:global step 115248: loss = 0.0515 (0.150 sec/step)
I0724 06:12:28.345739 140531649939328 learning.py:512] global step 115248: loss = 0.0515 (0.150 sec/step)
INFO:tensorflow:global step 115249: loss = 0.0368 (0.164 sec/step)
I0724 06:12:28.511145 140531649939328 learning.py:512] global step 115249: loss = 0.0368 (0.164 sec/step)
INFO:tensorflow:global step 115250: loss = 0.0121 (0.162 sec/step)
I0724 06:12:28.676197 140531649939328 learning.py:512] global step 115250: loss = 0.0121 (0.162 sec/step)
INFO:tensorflow:global step 115251: loss = 0.0100 (0.178 sec/step)
I0724 06:12:28.855304 140531649939328 learning.py:512] global step 115251: loss = 0.0100 (0.178 sec/step)
INFO:tensorflow:global step 115252: loss = 0.0112 (0.162 sec/step)
I0724 06:12:29.018888 140531649939328 learning.py:512] global step 115252: loss = 0.0112 (0.162 sec/step)
INFO:tensorflow:global step 115253: loss = 0.0242 (0.165 sec/step)
I0724 06:12:29.185479 140531649939328 learning.py:512] global step 115253: loss = 0.0242 (0.165 sec/step)
INFO:tensorflow:global step 115254: loss = 0.0467 (0.151 sec/step)
I0724 06:12:29.337749 140531649939328 learning.py:512] global step 115254: loss = 0.0467 (0.151 sec/step)
INFO:tensorflow:global step 115255: loss = 0.0455 (0.145 sec/step)
I0724 06:12:29.484167 140531649939328 learning.py:512] global step 115255: loss = 0.0455 (0.145 sec/step)
INFO:tensorflow:global step 115256: loss = 0.0865 (0.156 sec/step)
I0724 06:12:29.640953 140531649939328 learning.py:512] global step 115256: loss = 0.0865 (0.156 sec/step)
INFO:tensorflow:global step 115257: loss = 0.0117 (0.170 sec/step)
I0724 06:12:29.812793 140531649939328 learning.py:512] global step 115257: loss = 0.0117 (0.170 sec/step)
INFO:tensorflow:global step 115258: loss = 0.0231 (0.152 sec/step)
I0724 06:12:29.966637 140531649939328 learning.py:512] global step 115258: loss = 0.0231 (0.152 sec/step)
INFO:tensorflow:global step 115259: loss = 0.0262 (0.164 sec/step)
I0724 06:12:30.132003 140531649939328 learning.py:512] global step 115259: loss = 0.0262 (0.164 sec/step)
INFO:tensorflow:global step 115260: loss = 0.1208 (0.149 sec/step)
I0724 06:12:30.282687 140531649939328 learning.py:512] global step 115260: loss = 0.1208 (0.149 sec/step)
INFO:tensorflow:global step 115261: loss = 0.0349 (0.150 sec/step)
I0724 06:12:30.433871 140531649939328 learning.py:512] global step 115261: loss = 0.0349 (0.150 sec/step)
INFO:tensorflow:global step 115262: loss = 0.0600 (0.171 sec/step)
I0724 06:12:30.606547 140531649939328 learning.py:512] global step 115262: loss = 0.0600 (0.171 sec/step)
INFO:tensorflow:global step 115263: loss = 0.0150 (0.166 sec/step)
I0724 06:12:30.773976 140531649939328 learning.py:512] global step 115263: loss = 0.0150 (0.166 sec/step)
INFO:tensorflow:global step 115264: loss = 0.0149 (0.152 sec/step)
I0724 06:12:30.927228 140531649939328 learning.py:512] global step 115264: loss = 0.0149 (0.152 sec/step)
INFO:tensorflow:global step 115265: loss = 0.0758 (0.148 sec/step)
I0724 06:12:31.076880 140531649939328 learning.py:512] global step 115265: loss = 0.0758 (0.148 sec/step)
INFO:tensorflow:global step 115266: loss = 0.0092 (0.160 sec/step)
I0724 06:12:31.238467 140531649939328 learning.py:512] global step 115266: loss = 0.0092 (0.160 sec/step)
INFO:tensorflow:global step 115267: loss = 0.0134 (0.149 sec/step)
I0724 06:12:31.389367 140531649939328 learning.py:512] global step 115267: loss = 0.0134 (0.149 sec/step)
INFO:tensorflow:global step 115268: loss = 0.0192 (0.145 sec/step)
I0724 06:12:31.536122 140531649939328 learning.py:512] global step 115268: loss = 0.0192 (0.145 sec/step)
INFO:tensorflow:global step 115269: loss = 0.0074 (0.165 sec/step)
I0724 06:12:31.702756 140531649939328 learning.py:512] global step 115269: loss = 0.0074 (0.165 sec/step)
INFO:tensorflow:global step 115270: loss = 0.0209 (0.149 sec/step)
I0724 06:12:31.853283 140531649939328 learning.py:512] global step 115270: loss = 0.0209 (0.149 sec/step)
INFO:tensorflow:global step 115271: loss = 0.0294 (0.153 sec/step)
I0724 06:12:32.007945 140531649939328 learning.py:512] global step 115271: loss = 0.0294 (0.153 sec/step)
INFO:tensorflow:global step 115272: loss = 0.0171 (0.154 sec/step)
I0724 06:12:32.163170 140531649939328 learning.py:512] global step 115272: loss = 0.0171 (0.154 sec/step)
INFO:tensorflow:global step 115273: loss = 0.0140 (0.168 sec/step)
I0724 06:12:32.332872 140531649939328 learning.py:512] global step 115273: loss = 0.0140 (0.168 sec/step)
INFO:tensorflow:global step 115274: loss = 0.0727 (0.155 sec/step)
I0724 06:12:32.489553 140531649939328 learning.py:512] global step 115274: loss = 0.0727 (0.155 sec/step)
INFO:tensorflow:global step 115275: loss = 0.0416 (0.159 sec/step)
I0724 06:12:32.650337 140531649939328 learning.py:512] global step 115275: loss = 0.0416 (0.159 sec/step)
INFO:tensorflow:global step 115276: loss = 0.0312 (0.151 sec/step)
I0724 06:12:32.802446 140531649939328 learning.py:512] global step 115276: loss = 0.0312 (0.151 sec/step)
INFO:tensorflow:global step 115277: loss = 0.0366 (0.155 sec/step)
I0724 06:12:32.958677 140531649939328 learning.py:512] global step 115277: loss = 0.0366 (0.155 sec/step)
INFO:tensorflow:global step 115278: loss = 0.0085 (0.173 sec/step)
I0724 06:12:33.133492 140531649939328 learning.py:512] global step 115278: loss = 0.0085 (0.173 sec/step)
INFO:tensorflow:global step 115279: loss = 0.0290 (0.161 sec/step)
I0724 06:12:33.295522 140531649939328 learning.py:512] global step 115279: loss = 0.0290 (0.161 sec/step)
INFO:tensorflow:global step 115280: loss = 0.0185 (0.164 sec/step)
I0724 06:12:33.460455 140531649939328 learning.py:512] global step 115280: loss = 0.0185 (0.164 sec/step)
INFO:tensorflow:global step 115281: loss = 0.0048 (0.168 sec/step)
I0724 06:12:33.629967 140531649939328 learning.py:512] global step 115281: loss = 0.0048 (0.168 sec/step)
INFO:tensorflow:global step 115282: loss = 0.0278 (0.190 sec/step)
I0724 06:12:33.821203 140531649939328 learning.py:512] global step 115282: loss = 0.0278 (0.190 sec/step)
INFO:tensorflow:global step 115283: loss = 0.0265 (0.265 sec/step)
I0724 06:12:34.087733 140531649939328 learning.py:512] global step 115283: loss = 0.0265 (0.265 sec/step)
INFO:tensorflow:global step 115284: loss = 0.0086 (0.243 sec/step)
I0724 06:12:34.332436 140531649939328 learning.py:512] global step 115284: loss = 0.0086 (0.243 sec/step)
INFO:tensorflow:global step 115285: loss = 0.0601 (0.214 sec/step)
I0724 06:12:34.548264 140531649939328 learning.py:512] global step 115285: loss = 0.0601 (0.214 sec/step)
INFO:tensorflow:global step 115286: loss = 0.0689 (0.162 sec/step)
I0724 06:12:34.711260 140531649939328 learning.py:512] global step 115286: loss = 0.0689 (0.162 sec/step)
INFO:tensorflow:global step 115287: loss = 0.0256 (0.160 sec/step)
I0724 06:12:34.872335 140531649939328 learning.py:512] global step 115287: loss = 0.0256 (0.160 sec/step)
INFO:tensorflow:global step 115288: loss = 0.0898 (0.167 sec/step)
I0724 06:12:35.040760 140531649939328 learning.py:512] global step 115288: loss = 0.0898 (0.167 sec/step)
INFO:tensorflow:global step 115289: loss = 0.0697 (0.158 sec/step)
I0724 06:12:35.202457 140531649939328 learning.py:512] global step 115289: loss = 0.0697 (0.158 sec/step)
INFO:tensorflow:global step 115290: loss = 0.0246 (0.172 sec/step)
I0724 06:12:35.376347 140531649939328 learning.py:512] global step 115290: loss = 0.0246 (0.172 sec/step)
INFO:tensorflow:global step 115291: loss = 0.0091 (0.167 sec/step)
I0724 06:12:35.545035 140531649939328 learning.py:512] global step 115291: loss = 0.0091 (0.167 sec/step)
INFO:tensorflow:global step 115292: loss = 0.0198 (0.156 sec/step)
I0724 06:12:35.702902 140531649939328 learning.py:512] global step 115292: loss = 0.0198 (0.156 sec/step)
INFO:tensorflow:global step 115293: loss = 0.0608 (0.159 sec/step)
I0724 06:12:35.863438 140531649939328 learning.py:512] global step 115293: loss = 0.0608 (0.159 sec/step)
INFO:tensorflow:global step 115294: loss = 0.0088 (0.170 sec/step)
I0724 06:12:36.034504 140531649939328 learning.py:512] global step 115294: loss = 0.0088 (0.170 sec/step)
INFO:tensorflow:global step 115295: loss = 0.0491 (0.138 sec/step)
I0724 06:12:36.173615 140531649939328 learning.py:512] global step 115295: loss = 0.0491 (0.138 sec/step)
INFO:tensorflow:global step 115296: loss = 0.0064 (0.144 sec/step)
I0724 06:12:36.319060 140531649939328 learning.py:512] global step 115296: loss = 0.0064 (0.144 sec/step)
INFO:tensorflow:global step 115297: loss = 0.0141 (0.156 sec/step)
I0724 06:12:36.476975 140531649939328 learning.py:512] global step 115297: loss = 0.0141 (0.156 sec/step)
INFO:tensorflow:global step 115298: loss = 0.0109 (0.151 sec/step)
I0724 06:12:36.629699 140531649939328 learning.py:512] global step 115298: loss = 0.0109 (0.151 sec/step)
INFO:tensorflow:global step 115299: loss = 0.0677 (0.156 sec/step)
I0724 06:12:36.787201 140531649939328 learning.py:512] global step 115299: loss = 0.0677 (0.156 sec/step)
INFO:tensorflow:global step 115300: loss = 0.0163 (0.164 sec/step)
I0724 06:12:36.952182 140531649939328 learning.py:512] global step 115300: loss = 0.0163 (0.164 sec/step)
INFO:tensorflow:global step 115301: loss = 0.0182 (0.169 sec/step)
I0724 06:12:37.122879 140531649939328 learning.py:512] global step 115301: loss = 0.0182 (0.169 sec/step)
INFO:tensorflow:global step 115302: loss = 0.0646 (0.160 sec/step)
I0724 06:12:37.283928 140531649939328 learning.py:512] global step 115302: loss = 0.0646 (0.160 sec/step)
INFO:tensorflow:global step 115303: loss = 0.1062 (0.164 sec/step)
I0724 06:12:37.449723 140531649939328 learning.py:512] global step 115303: loss = 0.1062 (0.164 sec/step)
INFO:tensorflow:global step 115304: loss = 0.1644 (0.165 sec/step)
I0724 06:12:37.615649 140531649939328 learning.py:512] global step 115304: loss = 0.1644 (0.165 sec/step)
INFO:tensorflow:global step 115305: loss = 0.0141 (0.188 sec/step)
I0724 06:12:37.805171 140531649939328 learning.py:512] global step 115305: loss = 0.0141 (0.188 sec/step)
INFO:tensorflow:global step 115306: loss = 0.0363 (0.163 sec/step)
I0724 06:12:37.970715 140531649939328 learning.py:512] global step 115306: loss = 0.0363 (0.163 sec/step)
INFO:tensorflow:global step 115307: loss = 0.0129 (0.159 sec/step)
I0724 06:12:38.133121 140531649939328 learning.py:512] global step 115307: loss = 0.0129 (0.159 sec/step)
INFO:tensorflow:global step 115308: loss = 0.0262 (0.157 sec/step)
I0724 06:12:38.291718 140531649939328 learning.py:512] global step 115308: loss = 0.0262 (0.157 sec/step)
INFO:tensorflow:global step 115309: loss = 0.0142 (0.163 sec/step)
I0724 06:12:38.456408 140531649939328 learning.py:512] global step 115309: loss = 0.0142 (0.163 sec/step)
INFO:tensorflow:global step 115310: loss = 0.1817 (0.171 sec/step)
I0724 06:12:38.628686 140531649939328 learning.py:512] global step 115310: loss = 0.1817 (0.171 sec/step)
INFO:tensorflow:global step 115311: loss = 0.0666 (0.174 sec/step)
I0724 06:12:38.803877 140531649939328 learning.py:512] global step 115311: loss = 0.0666 (0.174 sec/step)
INFO:tensorflow:global step 115312: loss = 0.0340 (0.149 sec/step)
I0724 06:12:38.954163 140531649939328 learning.py:512] global step 115312: loss = 0.0340 (0.149 sec/step)
INFO:tensorflow:global step 115313: loss = 0.0194 (0.151 sec/step)
I0724 06:12:39.106964 140531649939328 learning.py:512] global step 115313: loss = 0.0194 (0.151 sec/step)
INFO:tensorflow:global step 115314: loss = 0.0633 (0.166 sec/step)
I0724 06:12:39.273887 140531649939328 learning.py:512] global step 115314: loss = 0.0633 (0.166 sec/step)
INFO:tensorflow:global step 115315: loss = 0.0658 (0.151 sec/step)
I0724 06:12:39.426275 140531649939328 learning.py:512] global step 115315: loss = 0.0658 (0.151 sec/step)
INFO:tensorflow:global step 115316: loss = 0.0754 (0.162 sec/step)
I0724 06:12:39.589809 140531649939328 learning.py:512] global step 115316: loss = 0.0754 (0.162 sec/step)
INFO:tensorflow:global step 115317: loss = 0.0036 (0.156 sec/step)
I0724 06:12:39.747551 140531649939328 learning.py:512] global step 115317: loss = 0.0036 (0.156 sec/step)
INFO:tensorflow:global step 115318: loss = 0.0222 (0.151 sec/step)
I0724 06:12:39.899469 140531649939328 learning.py:512] global step 115318: loss = 0.0222 (0.151 sec/step)
INFO:tensorflow:global step 115319: loss = 0.0091 (0.154 sec/step)
I0724 06:12:40.054614 140531649939328 learning.py:512] global step 115319: loss = 0.0091 (0.154 sec/step)
INFO:tensorflow:global step 115320: loss = 0.0059 (0.160 sec/step)
I0724 06:12:40.215998 140531649939328 learning.py:512] global step 115320: loss = 0.0059 (0.160 sec/step)
INFO:tensorflow:global step 115321: loss = 0.0084 (0.141 sec/step)
I0724 06:12:40.358254 140531649939328 learning.py:512] global step 115321: loss = 0.0084 (0.141 sec/step)
INFO:tensorflow:global step 115322: loss = 0.0089 (0.150 sec/step)
I0724 06:12:40.509439 140531649939328 learning.py:512] global step 115322: loss = 0.0089 (0.150 sec/step)
INFO:tensorflow:global step 115323: loss = 0.0433 (0.172 sec/step)
I0724 06:12:40.683264 140531649939328 learning.py:512] global step 115323: loss = 0.0433 (0.172 sec/step)
INFO:tensorflow:global step 115324: loss = 0.1325 (0.158 sec/step)
I0724 06:12:40.843529 140531649939328 learning.py:512] global step 115324: loss = 0.1325 (0.158 sec/step)
INFO:tensorflow:global step 115325: loss = 0.0173 (0.161 sec/step)
I0724 06:12:41.005561 140531649939328 learning.py:512] global step 115325: loss = 0.0173 (0.161 sec/step)
INFO:tensorflow:global step 115326: loss = 0.0452 (0.169 sec/step)
I0724 06:12:41.176564 140531649939328 learning.py:512] global step 115326: loss = 0.0452 (0.169 sec/step)
INFO:tensorflow:global step 115327: loss = 0.1643 (0.145 sec/step)
I0724 06:12:41.322901 140531649939328 learning.py:512] global step 115327: loss = 0.1643 (0.145 sec/step)
INFO:tensorflow:global step 115328: loss = 0.0211 (0.153 sec/step)
I0724 06:12:41.477331 140531649939328 learning.py:512] global step 115328: loss = 0.0211 (0.153 sec/step)
INFO:tensorflow:global step 115329: loss = 0.0550 (0.150 sec/step)
I0724 06:12:41.628546 140531649939328 learning.py:512] global step 115329: loss = 0.0550 (0.150 sec/step)
Traceback (most recent call last):
File "train.py", line 186, in <module>
tf.app.run()
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/platform/app.py", line 40, in run
_run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
File "/usr/local/lib/python3.6/dist-packages/absl/app.py", line 299, in run
_run_main(main, args)
File "/usr/local/lib/python3.6/dist-packages/absl/app.py", line 250, in _run_main
sys.exit(main(argv))
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/util/deprecation.py", line 324, in new_func
return func(*args, **kwargs)
File "train.py", line 182, in main
graph_hook_fn=graph_rewriter_fn)
File "/content/gdrive/My Drive/Car_And_Number_Plate/models/research/object_detection/legacy/trainer.py", line 415, in train
saver=saver)
File "/usr/local/lib/python3.6/dist-packages/tf_slim/learning.py", line 767, in train
train_step_kwargs)
File "/usr/local/lib/python3.6/dist-packages/tf_slim/learning.py", line 495, in train_step
run_metadata=run_metadata)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 956, in run
run_metadata_ptr)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 1180, in _run
feed_dict_tensor, options, run_metadata)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 1359, in _do_run
run_metadata)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 1365, in _do_call
return fn(*args)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 1350, in _run_fn
target_list, run_metadata)
File "/tensorflow-1.15.2/python3.6/tensorflow_core/python/client/session.py", line 1443, in _call_tf_sessionrun
run_metadata)
KeyboardInterrupt
Exporting The Trained model¶
In [ ]:
!python export_inference_graph.py --input_type image_tensor --pipeline_config_path training/faster_rcnn_inception_v2_pets.config --trained_checkpoint_prefix training/model.ckpt-112270 --output_directory inference_graph
WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tf_slim/layers/layers.py:2802: Layer.apply (from tensorflow.python.keras.engine.base_layer) is deprecated and will be removed in a future version.
Instructions for updating:
Please use `layer.__call__` method instead.
W0724 06:16:38.592145 140210300942208 deprecation.py:323] From /usr/local/lib/python3.6/dist-packages/tf_slim/layers/layers.py:2802: Layer.apply (from tensorflow.python.keras.engine.base_layer) is deprecated and will be removed in a future version.
Instructions for updating:
Please use `layer.__call__` method instead.
INFO:tensorflow:Scale of 0 disables regularizer.
I0724 06:16:39.925032 140210300942208 regularizers.py:99] Scale of 0 disables regularizer.
INFO:tensorflow:Scale of 0 disables regularizer.
I0724 06:16:39.937562 140210300942208 regularizers.py:99] Scale of 0 disables regularizer.
INFO:tensorflow:depth of additional conv before box predictor: 0
I0724 06:16:39.937977 140210300942208 convolutional_box_predictor.py:156] depth of additional conv before box predictor: 0
WARNING:tensorflow:From /content/gdrive/My Drive/Car_And_Number_Plate/models/research/object_detection/core/box_list_ops.py:166: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.where in 2.0, which has the same broadcast rule as np.where
W0724 06:16:39.992782 140210300942208 deprecation.py:323] From /content/gdrive/My Drive/Car_And_Number_Plate/models/research/object_detection/core/box_list_ops.py:166: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.where in 2.0, which has the same broadcast rule as np.where
WARNING:tensorflow:From /content/gdrive/My Drive/Car_And_Number_Plate/models/research/object_detection/utils/spatial_transform_ops.py:478: calling crop_and_resize_v1 (from tensorflow.python.ops.image_ops_impl) with box_ind is deprecated and will be removed in a future version.
Instructions for updating:
box_ind is deprecated, use box_indices instead
W0724 06:16:40.616730 140210300942208 deprecation.py:506] From /content/gdrive/My Drive/Car_And_Number_Plate/models/research/object_detection/utils/spatial_transform_ops.py:478: calling crop_and_resize_v1 (from tensorflow.python.ops.image_ops_impl) with box_ind is deprecated and will be removed in a future version.
Instructions for updating:
box_ind is deprecated, use box_indices instead
WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tf_slim/layers/layers.py:1666: flatten (from tensorflow.python.layers.core) is deprecated and will be removed in a future version.
Instructions for updating:
Use keras.layers.flatten instead.
W0724 06:16:41.108698 140210300942208 deprecation.py:323] From /usr/local/lib/python3.6/dist-packages/tf_slim/layers/layers.py:1666: flatten (from tensorflow.python.layers.core) is deprecated and will be removed in a future version.
Instructions for updating:
Use keras.layers.flatten instead.
INFO:tensorflow:Scale of 0 disables regularizer.
I0724 06:16:41.114032 140210300942208 regularizers.py:99] Scale of 0 disables regularizer.
INFO:tensorflow:Scale of 0 disables regularizer.
I0724 06:16:41.131943 140210300942208 regularizers.py:99] Scale of 0 disables regularizer.
WARNING:tensorflow:From /tensorflow-1.15.2/python3.6/tensorflow_core/python/util/dispatch.py:180: batch_gather (from tensorflow.python.ops.array_ops) is deprecated and will be removed after 2017-10-25.
Instructions for updating:
`tf.batch_gather` is deprecated, please use `tf.gather` with `batch_dims=-1` instead.
W0724 06:16:41.690451 140210300942208 deprecation.py:323] From /tensorflow-1.15.2/python3.6/tensorflow_core/python/util/dispatch.py:180: batch_gather (from tensorflow.python.ops.array_ops) is deprecated and will be removed after 2017-10-25.
Instructions for updating:
`tf.batch_gather` is deprecated, please use `tf.gather` with `batch_dims=-1` instead.
WARNING:tensorflow:From /content/gdrive/My Drive/Car_And_Number_Plate/models/research/object_detection/exporter.py:474: get_or_create_global_step (from tf_slim.ops.variables) is deprecated and will be removed in a future version.
Instructions for updating:
Please switch to tf.train.get_or_create_global_step
W0724 06:16:41.782095 140210300942208 deprecation.py:323] From /content/gdrive/My Drive/Car_And_Number_Plate/models/research/object_detection/exporter.py:474: get_or_create_global_step (from tf_slim.ops.variables) is deprecated and will be removed in a future version.
Instructions for updating:
Please switch to tf.train.get_or_create_global_step
WARNING:tensorflow:From /content/gdrive/My Drive/Car_And_Number_Plate/models/research/object_detection/exporter.py:653: print_model_analysis (from tensorflow.contrib.tfprof.model_analyzer) is deprecated and will be removed after 2018-01-01.
Instructions for updating:
Use `tf.profiler.profile(graph, run_meta, op_log, cmd, options)`. Build `options` with `tf.profiler.ProfileOptionBuilder`. See README.md for details
W0724 06:16:41.784980 140210300942208 deprecation.py:323] From /content/gdrive/My Drive/Car_And_Number_Plate/models/research/object_detection/exporter.py:653: print_model_analysis (from tensorflow.contrib.tfprof.model_analyzer) is deprecated and will be removed after 2018-01-01.
Instructions for updating:
Use `tf.profiler.profile(graph, run_meta, op_log, cmd, options)`. Build `options` with `tf.profiler.ProfileOptionBuilder`. See README.md for details
WARNING:tensorflow:From /tensorflow-1.15.2/python3.6/tensorflow_core/python/profiler/internal/flops_registry.py:142: tensor_shape_from_node_def_name (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.compat.v1.graph_util.tensor_shape_from_node_def_name`
W0724 06:16:41.785893 140210300942208 deprecation.py:323] From /tensorflow-1.15.2/python3.6/tensorflow_core/python/profiler/internal/flops_registry.py:142: tensor_shape_from_node_def_name (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.compat.v1.graph_util.tensor_shape_from_node_def_name`
209 ops no flops stats due to incomplete shapes.
Parsing Inputs...
Incomplete shape.
=========================Options=============================
-max_depth 10000
-min_bytes 0
-min_peak_bytes 0
-min_residual_bytes 0
-min_output_bytes 0
-min_micros 0
-min_accelerator_micros 0
-min_cpu_micros 0
-min_params 0
-min_float_ops 0
-min_occurrence 0
-step -1
-order_by name
-account_type_regexes _trainable_variables
-start_name_regexes .*
-trim_name_regexes .*BatchNorm.*
-show_name_regexes .*
-hide_name_regexes
-account_displayed_op_only true
-select params
-output stdout:
==================Model Analysis Report======================
Incomplete shape.
Doc:
scope: The nodes in the model graph are organized by their names, which is hierarchical like filesystem.
param: Number of parameters (in the Variable).
Profile:
node name | # parameters
_TFProfRoot (--/12.85m params)
Conv (--/2.65m params)
Conv/biases (512, 512/512 params)
Conv/weights (3x3x576x512, 2.65m/2.65m params)
FirstStageBoxPredictor (--/36.94k params)
FirstStageBoxPredictor/BoxEncodingPredictor (--/24.62k params)
FirstStageBoxPredictor/BoxEncodingPredictor/biases (48, 48/48 params)
FirstStageBoxPredictor/BoxEncodingPredictor/weights (1x1x512x48, 24.58k/24.58k params)
FirstStageBoxPredictor/ClassPredictor (--/12.31k params)
FirstStageBoxPredictor/ClassPredictor/biases (24, 24/24 params)
FirstStageBoxPredictor/ClassPredictor/weights (1x1x512x24, 12.29k/12.29k params)
FirstStageFeatureExtractor (--/4.25m params)
FirstStageFeatureExtractor/InceptionV2 (--/4.25m params)
FirstStageFeatureExtractor/InceptionV2/Conv2d_1a_7x7 (--/2.71k params)
FirstStageFeatureExtractor/InceptionV2/Conv2d_1a_7x7/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Conv2d_1a_7x7/depthwise_weights (7x7x3x8, 1.18k/1.18k params)
FirstStageFeatureExtractor/InceptionV2/Conv2d_1a_7x7/pointwise_weights (1x1x24x64, 1.54k/1.54k params)
FirstStageFeatureExtractor/InceptionV2/Conv2d_2b_1x1 (--/4.10k params)
FirstStageFeatureExtractor/InceptionV2/Conv2d_2b_1x1/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Conv2d_2b_1x1/weights (1x1x64x64, 4.10k/4.10k params)
FirstStageFeatureExtractor/InceptionV2/Conv2d_2c_3x3 (--/110.59k params)
FirstStageFeatureExtractor/InceptionV2/Conv2d_2c_3x3/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Conv2d_2c_3x3/weights (3x3x64x192, 110.59k/110.59k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3b (--/218.11k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_0 (--/12.29k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_0/Conv2d_0a_1x1 (--/12.29k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_0/Conv2d_0a_1x1/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_0/Conv2d_0a_1x1/weights (1x1x192x64, 12.29k/12.29k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_1 (--/49.15k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_1/Conv2d_0a_1x1 (--/12.29k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_1/Conv2d_0a_1x1/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_1/Conv2d_0a_1x1/weights (1x1x192x64, 12.29k/12.29k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_1/Conv2d_0b_3x3 (--/36.86k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_1/Conv2d_0b_3x3/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_1/Conv2d_0b_3x3/weights (3x3x64x64, 36.86k/36.86k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_2 (--/150.53k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0a_1x1 (--/12.29k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0a_1x1/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0a_1x1/weights (1x1x192x64, 12.29k/12.29k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0b_3x3 (--/55.30k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0b_3x3/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0b_3x3/weights (3x3x64x96, 55.30k/55.30k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0c_3x3 (--/82.94k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0c_3x3/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_2/Conv2d_0c_3x3/weights (3x3x96x96, 82.94k/82.94k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_3 (--/6.14k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_3/Conv2d_0b_1x1 (--/6.14k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_3/Conv2d_0b_1x1/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3b/Branch_3/Conv2d_0b_1x1/weights (1x1x192x32, 6.14k/6.14k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3c (--/259.07k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3c/Branch_0 (--/16.38k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3c/Branch_0/Conv2d_0a_1x1 (--/16.38k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3c/Branch_0/Conv2d_0a_1x1/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3c/Branch_0/Conv2d_0a_1x1/weights (1x1x256x64, 16.38k/16.38k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3c/Branch_1 (--/71.68k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3c/Branch_1/Conv2d_0a_1x1 (--/16.38k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3c/Branch_1/Conv2d_0a_1x1/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3c/Branch_1/Conv2d_0a_1x1/weights (1x1x256x64, 16.38k/16.38k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3c/Branch_1/Conv2d_0b_3x3 (--/55.30k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3c/Branch_1/Conv2d_0b_3x3/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3c/Branch_1/Conv2d_0b_3x3/weights (3x3x64x96, 55.30k/55.30k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3c/Branch_2 (--/154.62k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3c/Branch_2/Conv2d_0a_1x1 (--/16.38k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3c/Branch_2/Conv2d_0a_1x1/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3c/Branch_2/Conv2d_0a_1x1/weights (1x1x256x64, 16.38k/16.38k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3c/Branch_2/Conv2d_0b_3x3 (--/55.30k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3c/Branch_2/Conv2d_0b_3x3/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3c/Branch_2/Conv2d_0b_3x3/weights (3x3x64x96, 55.30k/55.30k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3c/Branch_2/Conv2d_0c_3x3 (--/82.94k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3c/Branch_2/Conv2d_0c_3x3/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3c/Branch_2/Conv2d_0c_3x3/weights (3x3x96x96, 82.94k/82.94k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3c/Branch_3 (--/16.38k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3c/Branch_3/Conv2d_0b_1x1 (--/16.38k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3c/Branch_3/Conv2d_0b_1x1/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_3c/Branch_3/Conv2d_0b_1x1/weights (1x1x256x64, 16.38k/16.38k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4a (--/384.00k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4a/Branch_0 (--/225.28k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4a/Branch_0/Conv2d_0a_1x1 (--/40.96k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4a/Branch_0/Conv2d_0a_1x1/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4a/Branch_0/Conv2d_0a_1x1/weights (1x1x320x128, 40.96k/40.96k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4a/Branch_0/Conv2d_1a_3x3 (--/184.32k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4a/Branch_0/Conv2d_1a_3x3/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4a/Branch_0/Conv2d_1a_3x3/weights (3x3x128x160, 184.32k/184.32k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4a/Branch_1 (--/158.72k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4a/Branch_1/Conv2d_0a_1x1 (--/20.48k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4a/Branch_1/Conv2d_0a_1x1/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4a/Branch_1/Conv2d_0a_1x1/weights (1x1x320x64, 20.48k/20.48k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4a/Branch_1/Conv2d_0b_3x3 (--/55.30k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4a/Branch_1/Conv2d_0b_3x3/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4a/Branch_1/Conv2d_0b_3x3/weights (3x3x64x96, 55.30k/55.30k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4a/Branch_1/Conv2d_1a_3x3 (--/82.94k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4a/Branch_1/Conv2d_1a_3x3/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4a/Branch_1/Conv2d_1a_3x3/weights (3x3x96x96, 82.94k/82.94k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4b (--/608.26k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4b/Branch_0 (--/129.02k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4b/Branch_0/Conv2d_0a_1x1 (--/129.02k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4b/Branch_0/Conv2d_0a_1x1/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4b/Branch_0/Conv2d_0a_1x1/weights (1x1x576x224, 129.02k/129.02k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4b/Branch_1 (--/92.16k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4b/Branch_1/Conv2d_0a_1x1 (--/36.86k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4b/Branch_1/Conv2d_0a_1x1/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4b/Branch_1/Conv2d_0a_1x1/weights (1x1x576x64, 36.86k/36.86k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4b/Branch_1/Conv2d_0b_3x3 (--/55.30k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4b/Branch_1/Conv2d_0b_3x3/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4b/Branch_1/Conv2d_0b_3x3/weights (3x3x64x96, 55.30k/55.30k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4b/Branch_2 (--/313.34k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4b/Branch_2/Conv2d_0a_1x1 (--/55.30k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4b/Branch_2/Conv2d_0a_1x1/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4b/Branch_2/Conv2d_0a_1x1/weights (1x1x576x96, 55.30k/55.30k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4b/Branch_2/Conv2d_0b_3x3 (--/110.59k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4b/Branch_2/Conv2d_0b_3x3/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4b/Branch_2/Conv2d_0b_3x3/weights (3x3x96x128, 110.59k/110.59k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4b/Branch_2/Conv2d_0c_3x3 (--/147.46k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4b/Branch_2/Conv2d_0c_3x3/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4b/Branch_2/Conv2d_0c_3x3/weights (3x3x128x128, 147.46k/147.46k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4b/Branch_3 (--/73.73k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4b/Branch_3/Conv2d_0b_1x1 (--/73.73k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4b/Branch_3/Conv2d_0b_1x1/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4b/Branch_3/Conv2d_0b_1x1/weights (1x1x576x128, 73.73k/73.73k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4c (--/663.55k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_0 (--/110.59k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_0/Conv2d_0a_1x1 (--/110.59k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_0/Conv2d_0a_1x1/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_0/Conv2d_0a_1x1/weights (1x1x576x192, 110.59k/110.59k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_1 (--/165.89k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_1/Conv2d_0a_1x1 (--/55.30k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_1/Conv2d_0a_1x1/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_1/Conv2d_0a_1x1/weights (1x1x576x96, 55.30k/55.30k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_1/Conv2d_0b_3x3 (--/110.59k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_1/Conv2d_0b_3x3/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_1/Conv2d_0b_3x3/weights (3x3x96x128, 110.59k/110.59k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_2 (--/313.34k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_2/Conv2d_0a_1x1 (--/55.30k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_2/Conv2d_0a_1x1/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_2/Conv2d_0a_1x1/weights (1x1x576x96, 55.30k/55.30k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_2/Conv2d_0b_3x3 (--/110.59k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_2/Conv2d_0b_3x3/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_2/Conv2d_0b_3x3/weights (3x3x96x128, 110.59k/110.59k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_2/Conv2d_0c_3x3 (--/147.46k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_2/Conv2d_0c_3x3/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_2/Conv2d_0c_3x3/weights (3x3x128x128, 147.46k/147.46k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_3 (--/73.73k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_3/Conv2d_0b_1x1 (--/73.73k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_3/Conv2d_0b_1x1/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4c/Branch_3/Conv2d_0b_1x1/weights (1x1x576x128, 73.73k/73.73k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4d (--/893.95k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4d/Branch_0 (--/92.16k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4d/Branch_0/Conv2d_0a_1x1 (--/92.16k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4d/Branch_0/Conv2d_0a_1x1/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4d/Branch_0/Conv2d_0a_1x1/weights (1x1x576x160, 92.16k/92.16k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4d/Branch_1 (--/258.05k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4d/Branch_1/Conv2d_0a_1x1 (--/73.73k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4d/Branch_1/Conv2d_0a_1x1/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4d/Branch_1/Conv2d_0a_1x1/weights (1x1x576x128, 73.73k/73.73k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4d/Branch_1/Conv2d_0b_3x3 (--/184.32k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4d/Branch_1/Conv2d_0b_3x3/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4d/Branch_1/Conv2d_0b_3x3/weights (3x3x128x160, 184.32k/184.32k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4d/Branch_2 (--/488.45k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4d/Branch_2/Conv2d_0a_1x1 (--/73.73k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4d/Branch_2/Conv2d_0a_1x1/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4d/Branch_2/Conv2d_0a_1x1/weights (1x1x576x128, 73.73k/73.73k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4d/Branch_2/Conv2d_0b_3x3 (--/184.32k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4d/Branch_2/Conv2d_0b_3x3/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4d/Branch_2/Conv2d_0b_3x3/weights (3x3x128x160, 184.32k/184.32k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4d/Branch_2/Conv2d_0c_3x3 (--/230.40k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4d/Branch_2/Conv2d_0c_3x3/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4d/Branch_2/Conv2d_0c_3x3/weights (3x3x160x160, 230.40k/230.40k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4d/Branch_3 (--/55.30k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4d/Branch_3/Conv2d_0b_1x1 (--/55.30k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4d/Branch_3/Conv2d_0b_1x1/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4d/Branch_3/Conv2d_0b_1x1/weights (1x1x576x96, 55.30k/55.30k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4e (--/1.11m params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4e/Branch_0 (--/55.30k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4e/Branch_0/Conv2d_0a_1x1 (--/55.30k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4e/Branch_0/Conv2d_0a_1x1/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4e/Branch_0/Conv2d_0a_1x1/weights (1x1x576x96, 55.30k/55.30k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4e/Branch_1 (--/294.91k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4e/Branch_1/Conv2d_0a_1x1 (--/73.73k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4e/Branch_1/Conv2d_0a_1x1/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4e/Branch_1/Conv2d_0a_1x1/weights (1x1x576x128, 73.73k/73.73k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4e/Branch_1/Conv2d_0b_3x3 (--/221.18k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4e/Branch_1/Conv2d_0b_3x3/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4e/Branch_1/Conv2d_0b_3x3/weights (3x3x128x192, 221.18k/221.18k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4e/Branch_2 (--/700.42k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4e/Branch_2/Conv2d_0a_1x1 (--/92.16k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4e/Branch_2/Conv2d_0a_1x1/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4e/Branch_2/Conv2d_0a_1x1/weights (1x1x576x160, 92.16k/92.16k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4e/Branch_2/Conv2d_0b_3x3 (--/276.48k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4e/Branch_2/Conv2d_0b_3x3/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4e/Branch_2/Conv2d_0b_3x3/weights (3x3x160x192, 276.48k/276.48k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4e/Branch_2/Conv2d_0c_3x3 (--/331.78k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4e/Branch_2/Conv2d_0c_3x3/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4e/Branch_2/Conv2d_0c_3x3/weights (3x3x192x192, 331.78k/331.78k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4e/Branch_3 (--/55.30k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4e/Branch_3/Conv2d_0b_1x1 (--/55.30k params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4e/Branch_3/Conv2d_0b_1x1/BatchNorm (--/0 params)
FirstStageFeatureExtractor/InceptionV2/Mixed_4e/Branch_3/Conv2d_0b_1x1/weights (1x1x576x96, 55.30k/55.30k params)
SecondStageBoxPredictor (--/11.28k params)
SecondStageBoxPredictor/BoxEncodingPredictor (--/8.20k params)
SecondStageBoxPredictor/BoxEncodingPredictor/biases (8, 8/8 params)
SecondStageBoxPredictor/BoxEncodingPredictor/weights (1024x8, 8.19k/8.19k params)
SecondStageBoxPredictor/ClassPredictor (--/3.08k params)
SecondStageBoxPredictor/ClassPredictor/biases (3, 3/3 params)
SecondStageBoxPredictor/ClassPredictor/weights (1024x3, 3.07k/3.07k params)
SecondStageFeatureExtractor (--/5.89m params)
SecondStageFeatureExtractor/InceptionV2 (--/5.89m params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5a (--/1.44m params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5a/Branch_0 (--/294.91k params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5a/Branch_0/Conv2d_0a_1x1 (--/73.73k params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5a/Branch_0/Conv2d_0a_1x1/BatchNorm (--/0 params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5a/Branch_0/Conv2d_0a_1x1/weights (1x1x576x128, 73.73k/73.73k params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5a/Branch_0/Conv2d_1a_3x3 (--/221.18k params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5a/Branch_0/Conv2d_1a_3x3/BatchNorm (--/0 params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5a/Branch_0/Conv2d_1a_3x3/weights (3x3x128x192, 221.18k/221.18k params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5a/Branch_1 (--/1.14m params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5a/Branch_1/Conv2d_0a_1x1 (--/110.59k params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5a/Branch_1/Conv2d_0a_1x1/BatchNorm (--/0 params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5a/Branch_1/Conv2d_0a_1x1/weights (1x1x576x192, 110.59k/110.59k params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5a/Branch_1/Conv2d_0b_3x3 (--/442.37k params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5a/Branch_1/Conv2d_0b_3x3/BatchNorm (--/0 params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5a/Branch_1/Conv2d_0b_3x3/weights (3x3x192x256, 442.37k/442.37k params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5a/Branch_1/Conv2d_1a_3x3 (--/589.82k params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5a/Branch_1/Conv2d_1a_3x3/BatchNorm (--/0 params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5a/Branch_1/Conv2d_1a_3x3/weights (3x3x256x256, 589.82k/589.82k params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5b (--/2.18m params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5b/Branch_0 (--/360.45k params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5b/Branch_0/Conv2d_0a_1x1 (--/360.45k params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5b/Branch_0/Conv2d_0a_1x1/BatchNorm (--/0 params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5b/Branch_0/Conv2d_0a_1x1/weights (1x1x1024x352, 360.45k/360.45k params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5b/Branch_1 (--/749.57k params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5b/Branch_1/Conv2d_0a_1x1 (--/196.61k params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5b/Branch_1/Conv2d_0a_1x1/BatchNorm (--/0 params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5b/Branch_1/Conv2d_0a_1x1/weights (1x1x1024x192, 196.61k/196.61k params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5b/Branch_1/Conv2d_0b_3x3 (--/552.96k params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5b/Branch_1/Conv2d_0b_3x3/BatchNorm (--/0 params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5b/Branch_1/Conv2d_0b_3x3/weights (3x3x192x320, 552.96k/552.96k params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5b/Branch_2 (--/937.98k params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5b/Branch_2/Conv2d_0a_1x1 (--/163.84k params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5b/Branch_2/Conv2d_0a_1x1/BatchNorm (--/0 params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5b/Branch_2/Conv2d_0a_1x1/weights (1x1x1024x160, 163.84k/163.84k params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5b/Branch_2/Conv2d_0b_3x3 (--/322.56k params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5b/Branch_2/Conv2d_0b_3x3/BatchNorm (--/0 params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5b/Branch_2/Conv2d_0b_3x3/weights (3x3x160x224, 322.56k/322.56k params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5b/Branch_2/Conv2d_0c_3x3 (--/451.58k params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5b/Branch_2/Conv2d_0c_3x3/BatchNorm (--/0 params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5b/Branch_2/Conv2d_0c_3x3/weights (3x3x224x224, 451.58k/451.58k params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5b/Branch_3 (--/131.07k params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5b/Branch_3/Conv2d_0b_1x1 (--/131.07k params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5b/Branch_3/Conv2d_0b_1x1/BatchNorm (--/0 params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5b/Branch_3/Conv2d_0b_1x1/weights (1x1x1024x128, 131.07k/131.07k params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5c (--/2.28m params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_0 (--/360.45k params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_0/Conv2d_0a_1x1 (--/360.45k params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_0/Conv2d_0a_1x1/BatchNorm (--/0 params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_0/Conv2d_0a_1x1/weights (1x1x1024x352, 360.45k/360.45k params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_1 (--/749.57k params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0a_1x1 (--/196.61k params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0a_1x1/BatchNorm (--/0 params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0a_1x1/weights (1x1x1024x192, 196.61k/196.61k params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0b_3x3 (--/552.96k params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0b_3x3/BatchNorm (--/0 params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_1/Conv2d_0b_3x3/weights (3x3x192x320, 552.96k/552.96k params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_2 (--/1.04m params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0a_1x1 (--/196.61k params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0a_1x1/BatchNorm (--/0 params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0a_1x1/weights (1x1x1024x192, 196.61k/196.61k params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0b_3x3 (--/387.07k params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0b_3x3/BatchNorm (--/0 params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0b_3x3/weights (3x3x192x224, 387.07k/387.07k params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0c_3x3 (--/451.58k params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0c_3x3/BatchNorm (--/0 params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_2/Conv2d_0c_3x3/weights (3x3x224x224, 451.58k/451.58k params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_3 (--/131.07k params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_3/Conv2d_0b_1x1 (--/131.07k params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_3/Conv2d_0b_1x1/BatchNorm (--/0 params)
SecondStageFeatureExtractor/InceptionV2/Mixed_5c/Branch_3/Conv2d_0b_1x1/weights (1x1x1024x128, 131.07k/131.07k params)
======================End of Report==========================
209 ops no flops stats due to incomplete shapes.
Parsing Inputs...
Incomplete shape.
=========================Options=============================
-max_depth 10000
-min_bytes 0
-min_peak_bytes 0
-min_residual_bytes 0
-min_output_bytes 0
-min_micros 0
-min_accelerator_micros 0
-min_cpu_micros 0
-min_params 0
-min_float_ops 1
-min_occurrence 0
-step -1
-order_by float_ops
-account_type_regexes .*
-start_name_regexes .*
-trim_name_regexes .*BatchNorm.*,.*Initializer.*,.*Regularizer.*,.*BiasAdd.*
-show_name_regexes .*
-hide_name_regexes
-account_displayed_op_only true
-select float_ops
-output stdout:
==================Model Analysis Report======================
Incomplete shape.
Doc:
scope: The nodes in the model graph are organized by their names, which is hierarchical like filesystem.
flops: Number of float operations. Note: Please read the implementation for the math behind it.
Profile:
node name | # float_ops
_TFProfRoot (--/6.17k flops)
map/while/ToNormalizedCoordinates/Scale/mul (300/300 flops)
SecondStagePostprocessor/map/while/ClipToWindow/Maximum_2 (300/300 flops)
SecondStagePostprocessor/map/while/ClipToWindow/Maximum_3 (300/300 flops)
SecondStagePostprocessor/map/while/ClipToWindow/Minimum (300/300 flops)
SecondStagePostprocessor/map/while/ClipToWindow/Minimum_1 (300/300 flops)
SecondStagePostprocessor/map/while/ClipToWindow/Minimum_2 (300/300 flops)
SecondStagePostprocessor/map/while/ClipToWindow/Minimum_3 (300/300 flops)
SecondStagePostprocessor/map/while/ClipToWindow/Maximum_1 (300/300 flops)
SecondStagePostprocessor/map/while/ClipToWindow/Maximum (300/300 flops)
SecondStagePostprocessor/map/while/ToNormalizedCoordinates/Scale/mul (300/300 flops)
SecondStagePostprocessor/map/while/ToNormalizedCoordinates/Scale/mul_1 (300/300 flops)
SecondStagePostprocessor/map/while/ToNormalizedCoordinates/Scale/mul_2 (300/300 flops)
SecondStagePostprocessor/map/while/ToNormalizedCoordinates/Scale/mul_3 (300/300 flops)
map/while/ToNormalizedCoordinates/Scale/mul_1 (300/300 flops)
map/while/ToNormalizedCoordinates/Scale/mul_2 (300/300 flops)
map/while/ToNormalizedCoordinates/Scale/mul_3 (300/300 flops)
map_2/while/mul_3 (300/300 flops)
map_2/while/mul_2 (300/300 flops)
map_2/while/mul_1 (300/300 flops)
map_2/while/mul (300/300 flops)
GridAnchorGenerator/mul (12/12 flops)
GridAnchorGenerator/mul_1 (12/12 flops)
GridAnchorGenerator/mul_2 (12/12 flops)
GridAnchorGenerator/truediv (12/12 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_8 (1/1 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_16 (1/1 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_15 (1/1 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_14 (1/1 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_13 (1/1 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_1 (1/1 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_10 (1/1 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_11 (1/1 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_12 (1/1 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_17 (1/1 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub (1/1 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater_9 (1/1 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater_8 (1/1 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater_7 (1/1 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater_6 (1/1 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater_5 (1/1 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater_4 (1/1 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater_3 (1/1 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater_2 (1/1 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater_1 (1/1 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater (1/1 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/sub_3 (1/1 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/sub_2 (1/1 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/sub_1 (1/1 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/sub (1/1 flops)
SecondStagePostprocessor/map/while/ToNormalizedCoordinates/truediv (1/1 flops)
mul (1/1 flops)
map_2/while/Less_1 (1/1 flops)
map_2/while/Less (1/1 flops)
map_1/while/ToNormalizedCoordinates/truediv_1 (1/1 flops)
map_1/while/ToNormalizedCoordinates/truediv (1/1 flops)
map_1/while/Less_1 (1/1 flops)
map_1/while/Less (1/1 flops)
map/while/ToNormalizedCoordinates/truediv_1 (1/1 flops)
map/while/ToNormalizedCoordinates/truediv (1/1 flops)
map/while/Less_1 (1/1 flops)
map/while/Less (1/1 flops)
SecondStagePostprocessor/map/while/ToNormalizedCoordinates/truediv_1 (1/1 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_18 (1/1 flops)
SecondStagePostprocessor/map/while/Less_1 (1/1 flops)
SecondStagePostprocessor/map/while/Less (1/1 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_9 (1/1 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/Minimum_2 (1/1 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_7 (1/1 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_6 (1/1 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_5 (1/1 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_4 (1/1 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_3 (1/1 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_2 (1/1 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_19 (1/1 flops)
BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_16 (1/1 flops)
BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub (1/1 flops)
BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_1 (1/1 flops)
BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_10 (1/1 flops)
BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_11 (1/1 flops)
BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_12 (1/1 flops)
BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_13 (1/1 flops)
BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_14 (1/1 flops)
BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_15 (1/1 flops)
BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater_8 (1/1 flops)
BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_17 (1/1 flops)
BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_2 (1/1 flops)
BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_3 (1/1 flops)
BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_4 (1/1 flops)
BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_5 (1/1 flops)
BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_6 (1/1 flops)
BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_7 (1/1 flops)
BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_8 (1/1 flops)
BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater (1/1 flops)
BatchMultiClassNonMaxSuppression/map/while/Less_1 (1/1 flops)
BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/Greater (1/1 flops)
BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/Minimum (1/1 flops)
BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/Minimum_1 (1/1 flops)
BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/SortByField/Equal (1/1 flops)
BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/SortByField_1/Equal (1/1 flops)
BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/sub (1/1 flops)
BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/sub_1 (1/1 flops)
BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/sub_9 (1/1 flops)
BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater_1 (1/1 flops)
BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater_2 (1/1 flops)
BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater_3 (1/1 flops)
BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater_4 (1/1 flops)
BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater_5 (1/1 flops)
BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater_6 (1/1 flops)
BatchMultiClassNonMaxSuppression/map/while/PadOrClipBoxList/Greater_7 (1/1 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/ChangeCoordinateFrame/sub_1 (1/1 flops)
Preprocessor/map/while/ResizeToRange/cond/resize_1/mul_1 (1/1 flops)
Preprocessor/map/while/ResizeToRange/cond/resize_1/truediv (1/1 flops)
Preprocessor/map/while/ResizeToRange/cond/resize_1/truediv_1 (1/1 flops)
SecondStagePostprocessor/BatchGather/mul (1/1 flops)
SecondStagePostprocessor/BatchGather/mul_2 (1/1 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/Less (1/1 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/Less_1 (1/1 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/ChangeCoordinateFrame/sub (1/1 flops)
Preprocessor/map/while/ResizeToRange/cond/resize_1/mul (1/1 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/ChangeCoordinateFrame/truediv (1/1 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/ChangeCoordinateFrame/truediv_1 (1/1 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/Greater (1/1 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/Minimum (1/1 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/Minimum_1 (1/1 flops)
BatchMultiClassNonMaxSuppression/map/while/Less (1/1 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/SortByField/Equal (1/1 flops)
Preprocessor/map/while/Less_1 (1/1 flops)
BatchMultiClassNonMaxSuppression/ones/Less (1/1 flops)
FirstStageFeatureExtractor/GreaterEqual (1/1 flops)
FirstStageFeatureExtractor/GreaterEqual_1 (1/1 flops)
GridAnchorGenerator/assert_equal_1/Equal (1/1 flops)
GridAnchorGenerator/mul_7 (1/1 flops)
GridAnchorGenerator/mul_8 (1/1 flops)
GridAnchorGenerator/zeros/Less (1/1 flops)
Preprocessor/map/while/Less (1/1 flops)
SecondStagePostprocessor/BatchMultiClassNonMaxSuppression/map/while/MultiClassNonMaxSuppression/SortByField_1/Equal (1/1 flops)
Preprocessor/map/while/ResizeToRange/Less (1/1 flops)
Preprocessor/map/while/ResizeToRange/cond/resize/Minimum (1/1 flops)
Preprocessor/map/while/ResizeToRange/cond/resize/mul (1/1 flops)
Preprocessor/map/while/ResizeToRange/cond/resize/mul_1 (1/1 flops)
Preprocessor/map/while/ResizeToRange/cond/resize/truediv (1/1 flops)
Preprocessor/map/while/ResizeToRange/cond/resize/truediv_1 (1/1 flops)
Preprocessor/map/while/ResizeToRange/cond/resize_1/Minimum (1/1 flops)
======================End of Report==========================
2020-07-24 06:16:43.735599: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2020-07-24 06:16:43.740055: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-07-24 06:16:43.740584: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Found device 0 with properties:
name: Tesla T4 major: 7 minor: 5 memoryClockRate(GHz): 1.59
pciBusID: 0000:00:04.0
2020-07-24 06:16:43.740878: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2020-07-24 06:16:43.742276: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2020-07-24 06:16:43.755297: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2020-07-24 06:16:43.755631: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2020-07-24 06:16:43.757436: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2020-07-24 06:16:43.758516: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2020-07-24 06:16:43.766249: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2020-07-24 06:16:43.766367: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-07-24 06:16:43.766962: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-07-24 06:16:43.767498: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1767] Adding visible gpu devices: 0
2020-07-24 06:16:43.767797: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX512F
2020-07-24 06:16:43.772446: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2000129999 Hz
2020-07-24 06:16:43.772629: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x227cf40 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2020-07-24 06:16:43.772656: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version
2020-07-24 06:16:43.857028: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-07-24 06:16:43.857672: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x227cd80 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2020-07-24 06:16:43.857700: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Tesla T4, Compute Capability 7.5
2020-07-24 06:16:43.857934: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-07-24 06:16:43.858489: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Found device 0 with properties:
name: Tesla T4 major: 7 minor: 5 memoryClockRate(GHz): 1.59
pciBusID: 0000:00:04.0
2020-07-24 06:16:43.858551: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2020-07-24 06:16:43.858577: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2020-07-24 06:16:43.858598: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2020-07-24 06:16:43.858619: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2020-07-24 06:16:43.858639: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2020-07-24 06:16:43.858658: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2020-07-24 06:16:43.858678: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2020-07-24 06:16:43.858750: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-07-24 06:16:43.859318: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-07-24 06:16:43.859863: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1767] Adding visible gpu devices: 0
2020-07-24 06:16:43.859933: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2020-07-24 06:16:43.861179: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1180] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-07-24 06:16:43.861205: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1186] 0
2020-07-24 06:16:43.861221: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1199] 0: N
2020-07-24 06:16:43.861334: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-07-24 06:16:43.861920: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-07-24 06:16:43.862445: W tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:39] Overriding allow_growth setting because the TF_FORCE_GPU_ALLOW_GROWTH environment variable is set. Original config value was 0.
2020-07-24 06:16:43.862482: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1325] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14125 MB memory) -> physical GPU (device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5)
INFO:tensorflow:Restoring parameters from training/model.ckpt-112270
I0724 06:16:43.865004 140210300942208 saver.py:1284] Restoring parameters from training/model.ckpt-112270
WARNING:tensorflow:From /tensorflow-1.15.2/python3.6/tensorflow_core/python/tools/freeze_graph.py:127: checkpoint_exists (from tensorflow.python.training.checkpoint_management) is deprecated and will be removed in a future version.
Instructions for updating:
Use standard file APIs to check for files with this prefix.
W0724 06:16:45.771152 140210300942208 deprecation.py:323] From /tensorflow-1.15.2/python3.6/tensorflow_core/python/tools/freeze_graph.py:127: checkpoint_exists (from tensorflow.python.training.checkpoint_management) is deprecated and will be removed in a future version.
Instructions for updating:
Use standard file APIs to check for files with this prefix.
2020-07-24 06:16:46.420105: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-07-24 06:16:46.420696: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Found device 0 with properties:
name: Tesla T4 major: 7 minor: 5 memoryClockRate(GHz): 1.59
pciBusID: 0000:00:04.0
2020-07-24 06:16:46.420783: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2020-07-24 06:16:46.420810: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2020-07-24 06:16:46.420862: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2020-07-24 06:16:46.420886: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2020-07-24 06:16:46.420907: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2020-07-24 06:16:46.420927: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2020-07-24 06:16:46.420946: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2020-07-24 06:16:46.421028: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-07-24 06:16:46.421557: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-07-24 06:16:46.422090: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1767] Adding visible gpu devices: 0
2020-07-24 06:16:46.422133: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1180] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-07-24 06:16:46.422148: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1186] 0
2020-07-24 06:16:46.422158: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1199] 0: N
2020-07-24 06:16:46.422263: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-07-24 06:16:46.422817: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-07-24 06:16:46.423333: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1325] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14125 MB memory) -> physical GPU (device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5)
INFO:tensorflow:Restoring parameters from training/model.ckpt-112270
I0724 06:16:46.425058 140210300942208 saver.py:1284] Restoring parameters from training/model.ckpt-112270
WARNING:tensorflow:From /tensorflow-1.15.2/python3.6/tensorflow_core/python/tools/freeze_graph.py:233: convert_variables_to_constants (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.compat.v1.graph_util.convert_variables_to_constants`
W0724 06:16:47.148330 140210300942208 deprecation.py:323] From /tensorflow-1.15.2/python3.6/tensorflow_core/python/tools/freeze_graph.py:233: convert_variables_to_constants (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.compat.v1.graph_util.convert_variables_to_constants`
WARNING:tensorflow:From /tensorflow-1.15.2/python3.6/tensorflow_core/python/framework/graph_util_impl.py:277: extract_sub_graph (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.compat.v1.graph_util.extract_sub_graph`
W0724 06:16:47.148663 140210300942208 deprecation.py:323] From /tensorflow-1.15.2/python3.6/tensorflow_core/python/framework/graph_util_impl.py:277: extract_sub_graph (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.compat.v1.graph_util.extract_sub_graph`
INFO:tensorflow:Froze 356 variables.
I0724 06:16:47.515905 140210300942208 graph_util_impl.py:334] Froze 356 variables.
INFO:tensorflow:Converted 356 variables to const ops.
I0724 06:16:47.619581 140210300942208 graph_util_impl.py:394] Converted 356 variables to const ops.
2020-07-24 06:16:47.888371: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-07-24 06:16:47.888963: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1639] Found device 0 with properties:
name: Tesla T4 major: 7 minor: 5 memoryClockRate(GHz): 1.59
pciBusID: 0000:00:04.0
2020-07-24 06:16:47.889063: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
2020-07-24 06:16:47.889094: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2020-07-24 06:16:47.889117: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2020-07-24 06:16:47.889140: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2020-07-24 06:16:47.889160: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2020-07-24 06:16:47.889179: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2020-07-24 06:16:47.889199: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2020-07-24 06:16:47.889300: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-07-24 06:16:47.889897: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-07-24 06:16:47.890365: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1767] Adding visible gpu devices: 0
2020-07-24 06:16:47.890407: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1180] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-07-24 06:16:47.890420: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1186] 0
2020-07-24 06:16:47.890430: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1199] 0: N
2020-07-24 06:16:47.890524: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-07-24 06:16:47.891056: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:983] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-07-24 06:16:47.891531: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1325] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 14125 MB memory) -> physical GPU (device: 0, name: Tesla T4, pci bus id: 0000:00:04.0, compute capability: 7.5)
WARNING:tensorflow:From /content/gdrive/My Drive/Car_And_Number_Plate/models/research/object_detection/exporter.py:384: build_tensor_info (from tensorflow.python.saved_model.utils_impl) is deprecated and will be removed in a future version.
Instructions for updating:
This function will only be available through the v1 compatibility library as tf.compat.v1.saved_model.utils.build_tensor_info or tf.compat.v1.saved_model.build_tensor_info.
W0724 06:16:48.327731 140210300942208 deprecation.py:323] From /content/gdrive/My Drive/Car_And_Number_Plate/models/research/object_detection/exporter.py:384: build_tensor_info (from tensorflow.python.saved_model.utils_impl) is deprecated and will be removed in a future version.
Instructions for updating:
This function will only be available through the v1 compatibility library as tf.compat.v1.saved_model.utils.build_tensor_info or tf.compat.v1.saved_model.build_tensor_info.
INFO:tensorflow:No assets to save.
I0724 06:16:48.328434 140210300942208 builder_impl.py:640] No assets to save.
INFO:tensorflow:No assets to write.
I0724 06:16:48.328586 140210300942208 builder_impl.py:460] No assets to write.
INFO:tensorflow:SavedModel written to: inference_graph/saved_model/saved_model.pb
I0724 06:16:48.759994 140210300942208 builder_impl.py:425] SavedModel written to: inference_graph/saved_model/saved_model.pb
INFO:tensorflow:Writing pipeline config file to inference_graph/pipeline.config
I0724 06:16:48.813065 140210300942208 config_util.py:254] Writing pipeline config file to inference_graph/pipeline.config
In [ ]:
# Check what is content in the labelmap.pbtxt file
!cat training/labelmap.pbtxt
item {
id: 1
name: 'car'
}
item {
id: 2
name: 'number plate'
}
Detect the Object in the images for all cases.¶
- The images which have car or vehicle registration plate it will draw the bounding boxes and will name it.
- If not present no detection will happen.
- For every input image a seperate cell is there to check the detections for the object.
In [17]:
import os
import glob
TEST_IMAGE_PATHS = glob.glob(os.path.join("*.jpg"))
TEST_IMAGE_PATHS
Out[17]:
['test8.jpg', 'test5.jpg', 'test7.jpg', 'test9.jpg', 'test2.jpg', 'test10.jpg', 'cast-singing-1920x967.jpg', 'download (4).jpg', 'audi.jpg', 'download (5).jpg']
In [19]:
######## Image Object Detection Using Tensorflow-trained Classifier #########
#
# Author: Evan Juras
# Date: 1/15/18
# Description:
# This program uses a TensorFlow-trained neural network to perform object detection.
# It loads the classifier and uses it to perform object detection on an image.
# It draws boxes, scores, and labels around the objects of interest in the image.
## Some of the code is copied from Google's example at
## https://github.com/tensorflow/models/blob/master/research/object_detection/object_detection_tutorial.ipynb
## and some is copied from Dat Tran's example at
## https://github.com/datitran/object_detector_app/blob/master/object_detection_app.py
## but I changed it to make it more understandable to me.
# Import packages
import os
import cv2
from google.colab.patches import cv2_imshow
import numpy as np
import tensorflow as tf
import sys
# This is needed since the notebook is stored in the object_detection folder.
sys.path.append("..")
# Import utilites
from utils import label_map_util
from utils import visualization_utils as vis_util
for i in TEST_IMAGE_PATHS:
# Name of the directory containing the object detection module we're using
MODEL_NAME = 'inference_graph'
IMAGE_NAME = i
print(IMAGE_NAME)
# Grab path to current working directory
CWD_PATH = os.getcwd()
# Path to frozen detection graph .pb file, which contains the model that is used
# for object detection.
PATH_TO_CKPT = os.path.join(CWD_PATH,MODEL_NAME,'frozen_inference_graph.pb')
# Path to label map file
PATH_TO_LABELS = os.path.join(CWD_PATH,'training','labelmap.pbtxt')
# Path to image
PATH_TO_IMAGE = os.path.join(CWD_PATH,IMAGE_NAME)
# Number of classes the object detector can identify
NUM_CLASSES = 2
# Load the label map.
# Label maps map indices to category names, so that when our convolution
# network predicts `5`, we know that this corresponds to `king`.
# Here we use internal utility functions, but anything that returns a
# dictionary mapping integers to appropriate string labels would be fine
label_map = label_map_util.load_labelmap(PATH_TO_LABELS)
categories = label_map_util.convert_label_map_to_categories(label_map, max_num_classes=NUM_CLASSES, use_display_name=True)
category_index = label_map_util.create_category_index(categories)
# Load the Tensorflow model into memory.
detection_graph = tf.Graph()
with detection_graph.as_default():
od_graph_def = tf.GraphDef()
with tf.gfile.GFile(PATH_TO_CKPT, 'rb') as fid:
serialized_graph = fid.read()
od_graph_def.ParseFromString(serialized_graph)
tf.import_graph_def(od_graph_def, name='')
sess = tf.Session(graph=detection_graph)
# Define input and output tensors (i.e. data) for the object detection classifier
# Input tensor is the image
image_tensor = detection_graph.get_tensor_by_name('image_tensor:0')
# Output tensors are the detection boxes, scores, and classes
# Each box represents a part of the image where a particular object was detected
detection_boxes = detection_graph.get_tensor_by_name('detection_boxes:0')
# Each score represents level of confidence for each of the objects.
# The score is shown on the result image, together with the class label.
detection_scores = detection_graph.get_tensor_by_name('detection_scores:0')
detection_classes = detection_graph.get_tensor_by_name('detection_classes:0')
# Number of objects detected
num_detections = detection_graph.get_tensor_by_name('num_detections:0')
# Load image using OpenCV and
# expand image dimensions to have shape: [1, None, None, 3]
# i.e. a single-column array, where each item in the column has the pixel RGB value
image = cv2.imread(PATH_TO_IMAGE)
image_rgb = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
image_expanded = np.expand_dims(image_rgb, axis=0)
# Perform the actual detection by running the model with the image as input
(boxes, scores, classes, num) = sess.run(
[detection_boxes, detection_scores, detection_classes, num_detections],
feed_dict={image_tensor: image_expanded})
# Draw the results of the detection (aka 'visulaize the results')
vis_util.visualize_boxes_and_labels_on_image_array(
image,
np.squeeze(boxes),
np.squeeze(classes).astype(np.int32),
np.squeeze(scores),
category_index,
use_normalized_coordinates=True,
line_thickness=1,
min_score_thresh=0.80)
# All the results have been drawn on image. Now display the image.
cv2_imshow(image)
print()
# Press any key to close the image
cv2.waitKey(0)
# Clean up
cv2.destroyAllWindows()
test8.jpg
test5.jpg
test7.jpg
test9.jpg
test2.jpg
test10.jpg
cast-singing-1920x967.jpg
download (4).jpg
audi.jpg
download (5).jpg
In [ ]:
######## Video Object Detection Using Tensorflow-trained Classifier #########
#
# Author: Evan Juras
# Date: 1/16/18
# Description:
# This program uses a TensorFlow-trained classifier to perform object detection.
# It loads the classifier and uses it to perform object detection on a video.
# It draws boxes, scores, and labels around the objects of interest in each
# frame of the video.
## Some of the code is copied from Google's example at
## https://github.com/tensorflow/models/blob/master/research/object_detection/object_detection_tutorial.ipynb
## and some is copied from Dat Tran's example at
## https://github.com/datitran/object_detector_app/blob/master/object_detection_app.py
## but I changed it to make it more understandable to me.
# Import packages
import os
import cv2
import numpy as np
from google.colab.patches import cv2_imshow
import tensorflow as tf
import sys
# This is needed since the notebook is stored in the object_detection folder.
sys.path.append("..")
# Import utilites
from utils import label_map_util
from utils import visualization_utils as vis_util
# Name of the directory containing the object detection module we're using
MODEL_NAME = 'inference_graph'
VIDEO_NAME = 'traffic.mp4'
# Grab path to current working directory
CWD_PATH = os.getcwd()
# Path to frozen detection graph .pb file, which contains the model that is used
# for object detection.
PATH_TO_CKPT = os.path.join(CWD_PATH,MODEL_NAME,'frozen_inference_graph.pb')
# Path to label map file
PATH_TO_LABELS = os.path.join(CWD_PATH,'training','labelmap.pbtxt')
# Path to video
PATH_TO_VIDEO = os.path.join(CWD_PATH,VIDEO_NAME)
# Number of classes the object detector can identify
NUM_CLASSES = 2
# Load the label map.
# Label maps map indices to category names, so that when our convolution
# network predicts `5`, we know that this corresponds to `king`.
# Here we use internal utility functions, but anything that returns a
# dictionary mapping integers to appropriate string labels would be fine
label_map = label_map_util.load_labelmap(PATH_TO_LABELS)
categories = label_map_util.convert_label_map_to_categories(label_map, max_num_classes=NUM_CLASSES, use_display_name=True)
category_index = label_map_util.create_category_index(categories)
# Load the Tensorflow model into memory.
detection_graph = tf.Graph()
with detection_graph.as_default():
od_graph_def = tf.GraphDef()
with tf.gfile.GFile(PATH_TO_CKPT, 'rb') as fid:
serialized_graph = fid.read()
od_graph_def.ParseFromString(serialized_graph)
tf.import_graph_def(od_graph_def, name='')
sess = tf.Session(graph=detection_graph)
# Define input and output tensors (i.e. data) for the object detection classifier
# Input tensor is the image
image_tensor = detection_graph.get_tensor_by_name('image_tensor:0')
# Output tensors are the detection boxes, scores, and classes
# Each box represents a part of the image where a particular object was detected
detection_boxes = detection_graph.get_tensor_by_name('detection_boxes:0')
# Each score represents level of confidence for each of the objects.
# The score is shown on the result image, together with the class label.
detection_scores = detection_graph.get_tensor_by_name('detection_scores:0')
detection_classes = detection_graph.get_tensor_by_name('detection_classes:0')
# Number of objects detected
num_detections = detection_graph.get_tensor_by_name('num_detections:0')
# Open video file
video = cv2.VideoCapture(PATH_TO_VIDEO)
while(video.isOpened()):
# Acquire frame and expand frame dimensions to have shape: [1, None, None, 3]
# i.e. a single-column array, where each item in the column has the pixel RGB value
ret, frame = video.read()
frame_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
frame_expanded = np.expand_dims(frame_rgb, axis=0)
# Perform the actual detection by running the model with the image as input
(boxes, scores, classes, num) = sess.run(
[detection_boxes, detection_scores, detection_classes, num_detections],
feed_dict={image_tensor: frame_expanded})
# Draw the results of the detection (aka 'visulaize the results')
vis_util.visualize_boxes_and_labels_on_image_array(
frame,
np.squeeze(boxes),
np.squeeze(classes).astype(np.int32),
np.squeeze(scores),
category_index,
use_normalized_coordinates=True,
line_thickness=2,
min_score_thresh=0.60)
# All the results have been drawn on the frame, so it's time to display it.
cv2_imshow(frame)
# Press 'q' to quit
if cv2.waitKey(1) == ord('q'):
break
# Clean up
video.release()
cv2.destroyAllWindows()
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